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Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds
| 85 |
cvpr
| 4 | 8 |
2023-06-03 02:43:17.044000
|
https://github.com/plusmultiply/mprm
| 39 |
Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds
|
https://scholar.google.com/scholar?cluster=910022059005740712&hl=en&as_sdt=0,5
| 2 | 2,020 |
Global Texture Enhancement for Fake Face Detection in the Wild
| 154 |
cvpr
| 2 | 0 |
2023-06-03 02:43:17.245000
|
https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild
| 5 |
Global texture enhancement for fake face detection in the wild
|
https://scholar.google.com/scholar?cluster=3231131997984740300&hl=en&as_sdt=0,5
| 2 | 2,020 |
Towards Inheritable Models for Open-Set Domain Adaptation
| 86 |
cvpr
| 0 | 0 |
2023-06-03 02:43:17.445000
|
https://github.com/val-iisc/inheritune
| 9 |
Towards inheritable models for open-set domain adaptation
|
https://scholar.google.com/scholar?cluster=14243323555575752250&hl=en&as_sdt=0,5
| 15 | 2,020 |
Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
| 135 |
cvpr
| 24 | 7 |
2023-06-03 02:43:17.645000
|
https://github.com/luogen1996/MCN
| 127 |
Multi-task collaborative network for joint referring expression comprehension and segmentation
|
https://scholar.google.com/scholar?cluster=5698096580926132002&hl=en&as_sdt=0,5
| 6 | 2,020 |
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
| 193 |
cvpr
| 58 | 16 |
2023-06-03 02:43:17.846000
|
https://github.com/dingmyu/D4LCN
| 303 |
Learning depth-guided convolutions for monocular 3d object detection
|
https://scholar.google.com/scholar?cluster=3992022189090691047&hl=en&as_sdt=0,5
| 9 | 2,020 |
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
| 56 |
cvpr
| 17 | 6 |
2023-06-03 02:43:18.047000
|
https://github.com/giannisdaras/ylg
| 133 |
Your local GAN: Designing two dimensional local attention mechanisms for generative models
|
https://scholar.google.com/scholar?cluster=6691643820203733990&hl=en&as_sdt=0,3
| 6 | 2,020 |
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
| 122 |
cvpr
| 42 | 6 |
2023-06-03 02:43:18.248000
|
https://github.com/alpc91/NICE-GAN-pytorch
| 218 |
Reusing discriminators for encoding: Towards unsupervised image-to-image translation
|
https://scholar.google.com/scholar?cluster=9474673267066460633&hl=en&as_sdt=0,5
| 6 | 2,020 |
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
| 94 |
cvpr
| 17 | 3 |
2023-06-03 02:43:18.449000
|
https://github.com/raoyongming/PointGLR
| 110 |
Global-local bidirectional reasoning for unsupervised representation learning of 3d point clouds
|
https://scholar.google.com/scholar?cluster=14032550008017369503&hl=en&as_sdt=0,39
| 9 | 2,020 |
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation
| 34 |
cvpr
| 7 | 4 |
2023-06-03 02:43:18.649000
|
https://github.com/cai-mj/UMA
| 31 |
Generalizing hand segmentation in egocentric videos with uncertainty-guided model adaptation
|
https://scholar.google.com/scholar?cluster=14854195948022072622&hl=en&as_sdt=0,1
| 5 | 2,020 |
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
| 37 |
cvpr
| 7 | 0 |
2023-06-03 02:43:18.849000
|
https://github.com/Tsingularity/PoseNorm_Fewshot
| 40 |
Revisiting pose-normalization for fine-grained few-shot recognition
|
https://scholar.google.com/scholar?cluster=14058402549089475889&hl=en&as_sdt=0,15
| 4 | 2,020 |
Polarized Reflection Removal With Perfect Alignment in the Wild
| 55 |
cvpr
| 7 | 0 |
2023-06-03 02:43:19.049000
|
https://github.com/ChenyangLEI/CVPR2020-Polarized-Reflection-Removal-with-Perfect-Alignment
| 79 |
Polarized reflection removal with perfect alignment in the wild
|
https://scholar.google.com/scholar?cluster=794202256015190214&hl=en&as_sdt=0,22
| 6 | 2,020 |
Weakly-Supervised Salient Object Detection via Scribble Annotations
| 187 |
cvpr
| 21 | 11 |
2023-06-03 02:43:19.250000
|
https://github.com/JingZhang617/Scribble_Saliency
| 135 |
Weakly-supervised salient object detection via scribble annotations
|
https://scholar.google.com/scholar?cluster=12565319032125907987&hl=en&as_sdt=0,5
| 6 | 2,020 |
Blur Aware Calibration of Multi-Focus Plenoptic Camera
| 5 |
cvpr
| 1 | 0 |
2023-06-03 02:43:19.451000
|
https://github.com/comsee-research/compote
| 4 |
Blur aware calibration of multi-focus plenoptic camera
|
https://scholar.google.com/scholar?cluster=3942639939193657522&hl=en&as_sdt=0,5
| 1 | 2,020 |
ASLFeat: Learning Local Features of Accurate Shape and Localization
| 186 |
cvpr
| 32 | 14 |
2023-06-03 02:43:19.652000
|
https://github.com/lzx551402/ASLFeat
| 279 |
Aslfeat: Learning local features of accurate shape and localization
|
https://scholar.google.com/scholar?cluster=12601324162617502372&hl=en&as_sdt=0,48
| 11 | 2,020 |
Correspondence Networks With Adaptive Neighbourhood Consensus
| 57 |
cvpr
| 5 | 5 |
2023-06-03 02:43:19.852000
|
https://github.com/ActiveVisionLab/ANCNet
| 22 |
Correspondence networks with adaptive neighbourhood consensus
|
https://scholar.google.com/scholar?cluster=12728206029677467282&hl=en&as_sdt=0,34
| 5 | 2,020 |
Video Super-Resolution With Temporal Group Attention
| 120 |
cvpr
| 14 | 12 |
2023-06-03 02:43:20.052000
|
https://github.com/junpan19/VSR_TGA
| 122 |
Video super-resolution with temporal group attention
|
https://scholar.google.com/scholar?cluster=7357555178809882671&hl=en&as_sdt=0,5
| 18 | 2,020 |
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
| 201 |
cvpr
| 97 | 3 |
2023-06-03 02:43:20.253000
|
https://github.com/graspnet/graspnet-baseline
| 250 |
Graspnet-1billion: A large-scale benchmark for general object grasping
|
https://scholar.google.com/scholar?cluster=3928408788697064992&hl=en&as_sdt=0,22
| 7 | 2,020 |
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
| 325 |
cvpr
| 74 | 26 |
2023-06-03 02:43:20.454000
|
https://github.com/HuangYG123/CurricularFace
| 487 |
Curricularface: adaptive curriculum learning loss for deep face recognition
|
https://scholar.google.com/scholar?cluster=17543857641780685133&hl=en&as_sdt=0,44
| 22 | 2,020 |
Meshed-Memory Transformer for Image Captioning
| 671 |
cvpr
| 135 | 41 |
2023-06-03 02:43:20.654000
|
https://github.com/aimagelab/meshed-memory-transformer
| 450 |
Meshed-memory transformer for image captioning
|
https://scholar.google.com/scholar?cluster=13804320630812586637&hl=en&as_sdt=0,33
| 14 | 2,020 |
HRank: Filter Pruning Using High-Rank Feature Map
| 561 |
cvpr
| 46 | 24 |
2023-06-03 02:43:20.855000
|
https://github.com/lmbxmu/HRank
| 232 |
Hrank: Filter pruning using high-rank feature map
|
https://scholar.google.com/scholar?cluster=497278027006601892&hl=en&as_sdt=0,5
| 12 | 2,020 |
On the Detection of Digital Face Manipulation
| 322 |
cvpr
| 24 | 10 |
2023-06-03 02:43:21.055000
|
https://github.com/JStehouwer/FFD_CVPR2020
| 94 |
On the detection of digital face manipulation
|
https://scholar.google.com/scholar?cluster=10353666099603521621&hl=en&as_sdt=0,33
| 3 | 2,020 |
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
| 15 |
cvpr
| 2 | 1 |
2023-06-03 02:43:21.263000
|
https://github.com/gsoh/HCNAF
| 13 |
Hcnaf: Hyper-conditioned neural autoregressive flow and its application for probabilistic occupancy map forecasting
|
https://scholar.google.com/scholar?cluster=15718044274423790528&hl=en&as_sdt=0,33
| 3 | 2,020 |
AANet: Adaptive Aggregation Network for Efficient Stereo Matching
| 308 |
cvpr
| 96 | 3 |
2023-06-03 02:43:21.464000
|
https://github.com/haofeixu/aanet
| 467 |
Aanet: Adaptive aggregation network for efficient stereo matching
|
https://scholar.google.com/scholar?cluster=13511423890414176773&hl=en&as_sdt=0,31
| 14 | 2,020 |
Unbiased Scene Graph Generation From Biased Training
| 424 |
cvpr
| 216 | 108 |
2023-06-03 02:43:21.664000
|
https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch
| 907 |
Unbiased scene graph generation from biased training
|
https://scholar.google.com/scholar?cluster=6204976209446651450&hl=en&as_sdt=0,3
| 14 | 2,020 |
Analyzing and Improving the Image Quality of StyleGAN
| 3,784 |
cvpr
| 2,493 | 26 |
2023-06-03 02:43:21.865000
|
https://github.com/NVlabs/stylegan2
| 10,430 |
Analyzing and improving the image quality of stylegan
|
https://scholar.google.com/scholar?cluster=17911154894679089420&hl=en&as_sdt=0,33
| 370 | 2,020 |
JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces
| 3 |
cvpr
| 1 | 1 |
2023-06-03 02:43:22.065000
|
https://github.com/BGU-CS-VIL/JA-POLS
| 17 |
JA-POLS: a moving-camera background model via joint alignment and partially-overlapping local subspaces
|
https://scholar.google.com/scholar?cluster=9131716502132904159&hl=en&as_sdt=0,44
| 6 | 2,020 |
Proxy Anchor Loss for Deep Metric Learning
| 272 |
cvpr
| 60 | 2 |
2023-06-03 02:43:22.266000
|
https://github.com/tjddus9597/Proxy-Anchor-CVPR2020
| 288 |
Proxy anchor loss for deep metric learning
|
https://scholar.google.com/scholar?cluster=2276525475394220717&hl=en&as_sdt=0,5
| 9 | 2,020 |
Learning to Dress 3D People in Generative Clothing
| 204 |
cvpr
| 40 | 4 |
2023-06-03 02:43:22.466000
|
https://github.com/QianliM/CAPE
| 276 |
Learning to dress 3d people in generative clothing
|
https://scholar.google.com/scholar?cluster=1344377148672721303&hl=en&as_sdt=0,47
| 13 | 2,020 |
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
| 222 |
cvpr
| 67 | 27 |
2023-06-03 02:43:22.667000
|
https://github.com/yaoyao-liu/mnemonics
| 420 |
Mnemonics training: Multi-class incremental learning without forgetting
|
https://scholar.google.com/scholar?cluster=10477002989404719589&hl=en&as_sdt=0,48
| 13 | 2,020 |
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
| 139 |
cvpr
| 6 | 2 |
2023-06-03 02:43:22.868000
|
https://github.com/UMBCvision/Universal-Litmus-Patterns
| 39 |
Universal litmus patterns: Revealing backdoor attacks in cnns
|
https://scholar.google.com/scholar?cluster=17667068421427055111&hl=en&as_sdt=0,5
| 4 | 2,020 |
Orderless Recurrent Models for Multi-Label Classification
| 66 |
cvpr
| 11 | 5 |
2023-06-03 02:43:23.069000
|
https://github.com/voyazici/orderless-rnn-classification
| 41 |
Orderless recurrent models for multi-label classification
|
https://scholar.google.com/scholar?cluster=8167430018987015934&hl=en&as_sdt=0,18
| 3 | 2,020 |
Extreme Relative Pose Network Under Hybrid Representations
| 23 |
cvpr
| 4 | 1 |
2023-06-03 02:43:23.269000
|
https://github.com/SimingYan/Hybrid_Relative_Pose
| 23 |
Extreme relative pose network under hybrid representations
|
https://scholar.google.com/scholar?cluster=6832963235795817967&hl=en&as_sdt=0,39
| 4 | 2,020 |
Learning When and Where to Zoom With Deep Reinforcement Learning
| 54 |
cvpr
| 8 | 3 |
2023-06-03 02:43:23.470000
|
https://github.com/ermongroup/PatchDrop
| 61 |
Learning when and where to zoom with deep reinforcement learning
|
https://scholar.google.com/scholar?cluster=15538408380292510208&hl=en&as_sdt=0,18
| 8 | 2,020 |
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
| 170 |
cvpr
| 86 | 28 |
2023-06-03 02:43:23.675000
|
https://github.com/alex04072000/SingleHDR
| 480 |
Single-image HDR reconstruction by learning to reverse the camera pipeline
|
https://scholar.google.com/scholar?cluster=6892932677303968289&hl=en&as_sdt=0,5
| 20 | 2,020 |
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing
| 145 |
cvpr
| 59 | 19 |
2023-06-03 02:43:23.877000
|
https://github.com/clks-wzz/FAS-SGTD
| 222 |
Deep spatial gradient and temporal depth learning for face anti-spoofing
|
https://scholar.google.com/scholar?cluster=17425442018601677108&hl=en&as_sdt=0,5
| 11 | 2,020 |
Densely Connected Search Space for More Flexible Neural Architecture Search
| 106 |
cvpr
| 48 | 5 |
2023-06-03 02:43:24.077000
|
https://github.com/JaminFong/DenseNAS
| 292 |
Densely connected search space for more flexible neural architecture search
|
https://scholar.google.com/scholar?cluster=11388886948472789017&hl=en&as_sdt=0,5
| 9 | 2,020 |
Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations
| 5 |
cvpr
| 1 | 9 |
2023-06-03 02:43:24.278000
|
https://github.com/dmt-lab/learning-to-observe
| 2 |
Learning to observe: Approximating human perceptual thresholds for detection of suprathreshold image transformations
|
https://scholar.google.com/scholar?cluster=40488271229020218&hl=en&as_sdt=0,5
| 3 | 2,020 |
Instance-Aware Image Colorization
| 159 |
cvpr
| 138 | 31 |
2023-06-03 02:43:24.481000
|
https://github.com/ericsujw/InstColorization
| 668 |
Instance-aware image colorization
|
https://scholar.google.com/scholar?cluster=10980582552564282229&hl=en&as_sdt=0,18
| 24 | 2,020 |
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks
| 179 |
cvpr
| 39 | 18 |
2023-06-03 02:43:24.681000
|
https://github.com/YoYo000/BlendedMVS
| 430 |
Blendedmvs: A large-scale dataset for generalized multi-view stereo networks
|
https://scholar.google.com/scholar?cluster=15858776872498696637&hl=en&as_sdt=0,47
| 27 | 2,020 |
Zero-Assignment Constraint for Graph Matching With Outliers
| 15 |
cvpr
| 3 | 7 |
2023-06-03 02:43:24.883000
|
https://github.com/wangfudong/ZAC_GM
| 12 |
Zero-assignment constraint for graph matching with outliers
|
https://scholar.google.com/scholar?cluster=4499518257198248706&hl=en&as_sdt=0,5
| 3 | 2,020 |
STEFANN: Scene Text Editor Using Font Adaptive Neural Network
| 33 |
cvpr
| 40 | 8 |
2023-06-03 02:43:25.084000
|
https://github.com/prasunroy/stefann
| 230 |
STEFANN: scene text editor using font adaptive neural network
|
https://scholar.google.com/scholar?cluster=15462430618860092685&hl=en&as_sdt=0,23
| 11 | 2,020 |
AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild"
| 116 |
cvpr
| 10 | 0 |
2023-06-03 02:43:25.284000
|
https://github.com/lattas/avatarme
| 124 |
AvatarMe: Realistically Renderable 3D Facial Reconstruction" in-the-wild"
|
https://scholar.google.com/scholar?cluster=7483829475057164721&hl=en&as_sdt=0,33
| 10 | 2,020 |
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
| 122 |
cvpr
| 90 | 5 |
2023-06-03 02:43:25.485000
|
https://github.com/saic-vul/fbrs_interactive_segmentation
| 541 |
f-brs: Rethinking backpropagating refinement for interactive segmentation
|
https://scholar.google.com/scholar?cluster=5366626130215217097&hl=en&as_sdt=0,5
| 15 | 2,020 |
Generalized Product Quantization Network for Semi-Supervised Image Retrieval
| 32 |
cvpr
| 11 | 1 |
2023-06-03 02:43:25.685000
|
https://github.com/youngkyunJang/GPQ
| 64 |
Generalized product quantization network for semi-supervised image retrieval
|
https://scholar.google.com/scholar?cluster=661030767477922706&hl=en&as_sdt=0,5
| 3 | 2,020 |
Extremely Dense Point Correspondences Using a Learned Feature Descriptor
| 33 |
cvpr
| 10 | 1 |
2023-06-03 02:43:25.886000
|
https://github.com/lppllppl920/DenseDescriptorLearning-Pytorch
| 70 |
Extremely dense point correspondences using a learned feature descriptor
|
https://scholar.google.com/scholar?cluster=17939981704094745202&hl=en&as_sdt=0,5
| 8 | 2,020 |
Local-Global Video-Text Interactions for Temporal Grounding
| 160 |
cvpr
| 19 | 12 |
2023-06-03 02:43:26.096000
|
https://github.com/JonghwanMun/LGI4temporalgrounding
| 115 |
Local-global video-text interactions for temporal grounding
|
https://scholar.google.com/scholar?cluster=9701700386474032090&hl=en&as_sdt=0,5
| 4 | 2,020 |
Gate-Shift Networks for Video Action Recognition
| 133 |
cvpr
| 17 | 14 |
2023-06-03 02:43:26.297000
|
https://github.com/swathikirans/GSM
| 149 |
Gate-shift networks for video action recognition
|
https://scholar.google.com/scholar?cluster=17859780477041675049&hl=en&as_sdt=0,5
| 8 | 2,020 |
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
| 58 |
cvpr
| 10 | 2 |
2023-06-03 02:43:26.498000
|
https://github.com/aritra0593/Reinforced-Feature-Points
| 63 |
Reinforced feature points: Optimizing feature detection and description for a high-level task
|
https://scholar.google.com/scholar?cluster=15988601049233038345&hl=en&as_sdt=0,33
| 2 | 2,020 |
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
| 112 |
cvpr
| 24 | 0 |
2023-06-03 02:43:26.699000
|
https://github.com/pxiangwu/MotionNet
| 162 |
Motionnet: Joint perception and motion prediction for autonomous driving based on bird's eye view maps
|
https://scholar.google.com/scholar?cluster=8105858893779164301&hl=en&as_sdt=0,20
| 15 | 2,020 |
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation
| 116 |
cvpr
| 49 | 22 |
2023-06-03 02:43:26.900000
|
https://github.com/lliuz/ARFlow
| 232 |
Learning by analogy: Reliable supervision from transformations for unsupervised optical flow estimation
|
https://scholar.google.com/scholar?cluster=3875015729190234590&hl=en&as_sdt=0,33
| 6 | 2,020 |
Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet
| 123 |
cvpr
| 41 | 22 |
2023-06-03 02:43:27.100000
|
https://github.com/B1ueber2y/TrianFlow
| 248 |
Towards better generalization: Joint depth-pose learning without posenet
|
https://scholar.google.com/scholar?cluster=3593641350876916040&hl=en&as_sdt=0,47
| 10 | 2,020 |
D2Det: Towards High Quality Object Detection and Instance Segmentation
| 140 |
cvpr
| 85 | 35 |
2023-06-03 02:43:27.301000
|
https://github.com/JialeCao001/D2Det
| 291 |
D2det: Towards high quality object detection and instance segmentation
|
https://scholar.google.com/scholar?cluster=15371804291623005317&hl=en&as_sdt=0,33
| 12 | 2,020 |
Quasi-Newton Solver for Robust Non-Rigid Registration
| 28 |
cvpr
| 44 | 7 |
2023-06-03 02:43:27.501000
|
https://github.com/Juyong/Fast_RNRR
| 219 |
Quasi-newton solver for robust non-rigid registration
|
https://scholar.google.com/scholar?cluster=17224988699653097008&hl=en&as_sdt=0,5
| 11 | 2,020 |
Rethinking Classification and Localization for Object Detection
| 380 |
cvpr
| 10 | 6 |
2023-06-03 02:43:27.702000
|
https://github.com/wuyuebupt/doubleheadsrcnn
| 69 |
Rethinking classification and localization for object detection
|
https://scholar.google.com/scholar?cluster=5261265231167224269&hl=en&as_sdt=0,1
| 2 | 2,020 |
Weakly-Supervised Action Localization by Generative Attention Modeling
| 128 |
cvpr
| 21 | 13 |
2023-06-03 02:43:27.902000
|
https://github.com/bfshi/DGAM-Weakly-Supervised-Action-Localization
| 135 |
Weakly-supervised action localization by generative attention modeling
|
https://scholar.google.com/scholar?cluster=11940490568711834866&hl=en&as_sdt=0,5
| 5 | 2,020 |
Multi-Scale Progressive Fusion Network for Single Image Deraining
| 356 |
cvpr
| 32 | 19 |
2023-06-03 02:43:28.103000
|
https://github.com/kuihua/MSPFN
| 138 |
Multi-scale progressive fusion network for single image deraining
|
https://scholar.google.com/scholar?cluster=16872700392789229768&hl=en&as_sdt=0,5
| 9 | 2,020 |
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
| 54 |
cvpr
| 15 | 0 |
2023-06-03 02:43:28.304000
|
https://github.com/tommy-qichang/AsynDGAN
| 37 |
Synthetic learning: Learn from distributed asynchronized discriminator gan without sharing medical image data
|
https://scholar.google.com/scholar?cluster=17792693692322986186&hl=en&as_sdt=0,33
| 4 | 2,020 |
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image
| 77 |
cvpr
| 7 | 3 |
2023-06-03 02:43:28.506000
|
https://github.com/paschalidoud/hierarchical_primitives
| 85 |
Learning unsupervised hierarchical part decomposition of 3d objects from a single rgb image
|
https://scholar.google.com/scholar?cluster=8614634556901055278&hl=en&as_sdt=0,5
| 14 | 2,020 |
Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
| 97 |
cvpr
| 9 | 2 |
2023-06-03 02:43:28.707000
|
https://github.com/jingjin25/LFSSR-ATO
| 44 |
Light field spatial super-resolution via deep combinatorial geometry embedding and structural consistency regularization
|
https://scholar.google.com/scholar?cluster=8730527407456817975&hl=en&as_sdt=0,23
| 4 | 2,020 |
Label Decoupling Framework for Salient Object Detection
| 191 |
cvpr
| 16 | 9 |
2023-06-03 02:43:28.907000
|
https://github.com/weijun88/LDF
| 101 |
Label decoupling framework for salient object detection
|
https://scholar.google.com/scholar?cluster=11889271221051428016&hl=en&as_sdt=0,5
| 5 | 2,020 |
Auto-Encoding Twin-Bottleneck Hashing
| 88 |
cvpr
| 17 | 4 |
2023-06-03 02:43:29.108000
|
https://github.com/ymcidence/TBH
| 84 |
Auto-encoding twin-bottleneck hashing
|
https://scholar.google.com/scholar?cluster=4685118711249456149&hl=en&as_sdt=0,23
| 5 | 2,020 |
Recurrent Feature Reasoning for Image Inpainting
| 257 |
cvpr
| 76 | 25 |
2023-06-03 02:43:29.308000
|
https://github.com/jingyuanli001/RFR-Inpainting
| 319 |
Recurrent feature reasoning for image inpainting
|
https://scholar.google.com/scholar?cluster=2684440541588567552&hl=en&as_sdt=0,5
| 11 | 2,020 |
Learning to Super Resolve Intensity Images From Events
| 47 |
cvpr
| 11 | 0 |
2023-06-03 02:43:29.509000
|
https://github.com/gistvision/e2sri
| 47 |
Learning to super resolve intensity images from events
|
https://scholar.google.com/scholar?cluster=17220003184725413481&hl=en&as_sdt=0,23
| 6 | 2,020 |
Harmonizing Transferability and Discriminability for Adapting Object Detectors
| 172 |
cvpr
| 23 | 22 |
2023-06-03 02:43:29.709000
|
https://github.com/chaoqichen/HTCN
| 112 |
Harmonizing transferability and discriminability for adapting object detectors
|
https://scholar.google.com/scholar?cluster=10593080449633610254&hl=en&as_sdt=0,23
| 3 | 2,020 |
Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition
| 53 |
cvpr
| 21 | 6 |
2023-06-03 02:43:29.909000
|
https://github.com/JDAI-CV/LIO
| 108 |
Look-into-object: Self-supervised structure modeling for object recognition
|
https://scholar.google.com/scholar?cluster=8508821443655139887&hl=en&as_sdt=0,48
| 11 | 2,020 |
FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
| 161 |
cvpr
| 87 | 18 |
2023-06-03 02:43:30.110000
|
https://github.com/zhuhao-nju/facescape
| 715 |
Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction
|
https://scholar.google.com/scholar?cluster=14954985719512682305&hl=en&as_sdt=0,34
| 35 | 2,020 |
Inferring Attention Shift Ranks of Objects for Image Saliency
| 25 |
cvpr
| 4 | 6 |
2023-06-03 02:43:30.310000
|
https://github.com/SirisAvishek/Attention_Shift_Ranks
| 24 |
Inferring attention shift ranks of objects for image saliency
|
https://scholar.google.com/scholar?cluster=17403422873244373547&hl=en&as_sdt=0,31
| 7 | 2,020 |
Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS
| 58 |
cvpr
| 16 | 8 |
2023-06-03 02:43:30.511000
|
https://github.com/longcw/crossview_3d_pose_tracking
| 123 |
Cross-view tracking for multi-human 3d pose estimation at over 100 fps
|
https://scholar.google.com/scholar?cluster=1132668862084573724&hl=en&as_sdt=0,19
| 12 | 2,020 |
PADS: Policy-Adapted Sampling for Visual Similarity Learning
| 43 |
cvpr
| 9 | 0 |
2023-06-03 02:43:30.712000
|
https://github.com/Confusezius/CVPR2020_PADS
| 58 |
Pads: Policy-adapted sampling for visual similarity learning
|
https://scholar.google.com/scholar?cluster=14756706924647760022&hl=en&as_sdt=0,31
| 6 | 2,020 |
Exploring Categorical Regularization for Domain Adaptive Object Detection
| 205 |
cvpr
| 25 | 15 |
2023-06-03 02:43:30.912000
|
https://github.com/Megvii-Nanjing/CR-DA-DET
| 114 |
Exploring categorical regularization for domain adaptive object detection
|
https://scholar.google.com/scholar?cluster=12709529115468914461&hl=en&as_sdt=0,3
| 12 | 2,020 |
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
| 130 |
cvpr
| 20 | 1 |
2023-06-03 02:43:31.114000
|
https://github.com/Z-Zheng/FarSeg
| 98 |
Foreground-aware relation network for geospatial object segmentation in high spatial resolution remote sensing imagery
|
https://scholar.google.com/scholar?cluster=4517467735811473630&hl=en&as_sdt=0,10
| 2 | 2,020 |
Effectively Unbiased FID and Inception Score and Where to Find Them
| 84 |
cvpr
| 4 | 2 |
2023-06-03 02:43:31.314000
|
https://github.com/mchong6/FID_IS_infinity
| 38 |
Effectively unbiased fid and inception score and where to find them
|
https://scholar.google.com/scholar?cluster=985387797474089148&hl=en&as_sdt=0,5
| 6 | 2,020 |
Controllable Orthogonalization in Training DNNs
| 34 |
cvpr
| 9 | 1 |
2023-06-03 02:43:31.517000
|
https://github.com/huangleiBuaa/ONI
| 20 |
Controllable orthogonalization in training dnns
|
https://scholar.google.com/scholar?cluster=18180974355493865351&hl=en&as_sdt=0,48
| 5 | 2,020 |
Discovering Human Interactions With Novel Objects via Zero-Shot Learning
| 31 |
cvpr
| 6 | 8 |
2023-06-03 02:43:31.718000
|
https://github.com/scwangdyd/zero_shot_hoi
| 38 |
Discovering human interactions with novel objects via zero-shot learning
|
https://scholar.google.com/scholar?cluster=8518789012755093875&hl=en&as_sdt=0,5
| 2 | 2,020 |
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations
| 218 |
cvpr
| 30 | 12 |
2023-06-03 02:43:31.919000
|
https://github.com/cuishuhao/BNM
| 248 |
Towards discriminability and diversity: Batch nuclear-norm maximization under label insufficient situations
|
https://scholar.google.com/scholar?cluster=17259672897391511955&hl=en&as_sdt=0,5
| 10 | 2,020 |
Visual Commonsense R-CNN
| 183 |
cvpr
| 58 | 11 |
2023-06-03 02:43:32.138000
|
https://github.com/Wangt-CN/VC-R-CNN
| 335 |
Visual commonsense r-cnn
|
https://scholar.google.com/scholar?cluster=6886229776034162585&hl=en&as_sdt=0,26
| 14 | 2,020 |
4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras
| 54 |
cvpr
| 30 | 16 |
2023-06-03 02:43:32.338000
|
https://github.com/zhangyux15/4d_association
| 162 |
4D association graph for realtime multi-person motion capture using multiple video cameras
|
https://scholar.google.com/scholar?cluster=13217754809285729497&hl=en&as_sdt=0,33
| 14 | 2,020 |
Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules
| 408 |
cvpr
| 32 | 7 |
2023-06-03 02:43:32.539000
|
https://github.com/ZhengxueCheng/Learned-Image-Compression-with-GMM-and-Attention
| 143 |
Learned image compression with discretized gaussian mixture likelihoods and attention modules
|
https://scholar.google.com/scholar?cluster=2321426178797084426&hl=en&as_sdt=0,10
| 4 | 2,020 |
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
| 27 |
cvpr
| 6 | 2 |
2023-06-03 02:43:32.739000
|
https://github.com/NVlabs/unas
| 54 |
Unas: Differentiable architecture search meets reinforcement learning
|
https://scholar.google.com/scholar?cluster=12269377839123865738&hl=en&as_sdt=0,44
| 14 | 2,020 |
Meshlet Priors for 3D Mesh Reconstruction
| 38 |
cvpr
| 2 | 3 |
2023-06-03 02:43:32.942000
|
https://github.com/NVlabs/meshlets
| 42 |
Meshlet priors for 3d mesh reconstruction
|
https://scholar.google.com/scholar?cluster=3179640149370686547&hl=en&as_sdt=0,33
| 22 | 2,020 |
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
| 66 |
cvpr
| 29 | 3 |
2023-06-03 02:43:33.145000
|
https://github.com/whj363636/Adversarial-attack-on-Person-ReID-With-Deep-Mis-Ranking
| 95 |
Transferable, controllable, and inconspicuous adversarial attacks on person re-identification with deep mis-ranking
|
https://scholar.google.com/scholar?cluster=490422468766489983&hl=en&as_sdt=0,33
| 5 | 2,020 |
Semantic Drift Compensation for Class-Incremental Learning
| 176 |
cvpr
| 34 | 9 |
2023-06-03 02:43:33.346000
|
https://github.com/yulu0724/SDC-IL
| 110 |
Semantic drift compensation for class-incremental learning
|
https://scholar.google.com/scholar?cluster=12272441645660000606&hl=en&as_sdt=0,5
| 3 | 2,020 |
More Grounded Image Captioning by Distilling Image-Text Matching Model
| 108 |
cvpr
| 7 | 5 |
2023-06-03 02:43:33.547000
|
https://github.com/YuanEZhou/Grounded-Image-Captioning
| 59 |
More grounded image captioning by distilling image-text matching model
|
https://scholar.google.com/scholar?cluster=9107893426978040607&hl=en&as_sdt=0,10
| 5 | 2,020 |
X-Linear Attention Networks for Image Captioning
| 401 |
cvpr
| 54 | 4 |
2023-06-03 02:43:33.747000
|
https://github.com/Panda-Peter/image-captioning
| 254 |
X-linear attention networks for image captioning
|
https://scholar.google.com/scholar?cluster=9240812457903545794&hl=en&as_sdt=0,5
| 4 | 2,020 |
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
| 248 |
cvpr
| 14 | 0 |
2023-06-03 02:43:33.948000
|
https://github.com/kerenfu/JLDCF
| 68 |
JL-DCF: Joint learning and densely-cooperative fusion framework for RGB-D salient object detection
|
https://scholar.google.com/scholar?cluster=12168762254626534005&hl=en&as_sdt=0,42
| 6 | 2,020 |
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
| 143 |
cvpr
| 35 | 6 |
2023-06-03 02:43:34.148000
|
https://github.com/mileyan/pseudo-LiDAR_e2e
| 177 |
End-to-end pseudo-lidar for image-based 3d object detection
|
https://scholar.google.com/scholar?cluster=3540971209064778234&hl=en&as_sdt=0,5
| 14 | 2,020 |
You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions
| 48 |
cvpr
| 7 | 4 |
2023-06-03 02:43:34.349000
|
https://github.com/facebookresearch/you2me
| 48 |
You2me: Inferring body pose in egocentric video via first and second person interactions
|
https://scholar.google.com/scholar?cluster=7563071385807951312&hl=en&as_sdt=0,23
| 9 | 2,020 |
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
| 329 |
cvpr
| 28 | 1 |
2023-06-03 02:43:34.550000
|
https://github.com/HaohanWang/HFC
| 220 |
High-frequency component helps explain the generalization of convolutional neural networks
|
https://scholar.google.com/scholar?cluster=8901539838953056872&hl=en&as_sdt=0,36
| 4 | 2,020 |
ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network
| 232 |
cvpr
| 636 | 291 |
2023-06-03 02:43:34.752000
|
https://github.com/aim-uofa/AdelaiDet
| 3,150 |
Abcnet: Real-time scene text spotting with adaptive bezier-curve network
|
https://scholar.google.com/scholar?cluster=4041385490106103036&hl=en&as_sdt=0,5
| 85 | 2,020 |
Attention-Based Context Aware Reasoning for Situation Recognition
| 9 |
cvpr
| 4 | 0 |
2023-06-03 02:43:34.952000
|
https://github.com/thilinicooray/context-aware-reasoning-for-sr
| 18 |
Attention-based context aware reasoning for situation recognition
|
https://scholar.google.com/scholar?cluster=8136341880060783104&hl=en&as_sdt=0,1
| 2 | 2,020 |
Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images
| 91 |
cvpr
| 112 | 32 |
2023-06-03 02:43:35.152000
|
https://github.com/Hangz-nju-cuhk/Rotate-and-Render
| 445 |
Rotate-and-render: Unsupervised photorealistic face rotation from single-view images
|
https://scholar.google.com/scholar?cluster=2882155676302627088&hl=en&as_sdt=0,39
| 16 | 2,020 |
FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation
| 59 |
cvpr
| 13 | 0 |
2023-06-03 02:43:35.353000
|
https://github.com/CM-BF/FeatureFlow
| 152 |
Featureflow: Robust video interpolation via structure-to-texture generation
|
https://scholar.google.com/scholar?cluster=17611134410867592389&hl=en&as_sdt=0,33
| 5 | 2,020 |
Scene-Adaptive Video Frame Interpolation via Meta-Learning
| 42 |
cvpr
| 13 | 4 |
2023-06-03 02:43:35.564000
|
https://github.com/myungsub/meta-interpolation
| 77 |
Scene-adaptive video frame interpolation via meta-learning
|
https://scholar.google.com/scholar?cluster=2749309242157904592&hl=en&as_sdt=0,5
| 12 | 2,020 |
Background Matting: The World Is Your Green Screen
| 138 |
cvpr
| 662 | 44 |
2023-06-03 02:43:35.765000
|
https://github.com/senguptaumd/Background-Matting
| 4,680 |
Background matting: The world is your green screen
|
https://scholar.google.com/scholar?cluster=11725748042291384781&hl=en&as_sdt=0,11
| 145 | 2,020 |
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
| 30 |
cvpr
| 10 | 2 |
2023-06-03 02:43:35.965000
|
https://github.com/koutilya40192/SharinGAN
| 25 |
Sharingan: Combining synthetic and real data for unsupervised geometry estimation
|
https://scholar.google.com/scholar?cluster=2052042029863774000&hl=en&as_sdt=0,5
| 2 | 2,020 |
Explainable Object-Induced Action Decision for Autonomous Vehicles
| 46 |
cvpr
| 8 | 2 |
2023-06-03 02:43:36.165000
|
https://github.com/Twizwei/bddoia_project
| 21 |
Explainable object-induced action decision for autonomous vehicles
|
https://scholar.google.com/scholar?cluster=6298956570811899330&hl=en&as_sdt=0,14
| 3 | 2,020 |
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model
| 44 |
cvpr
| 0 | 0 |
2023-06-03 02:43:36.366000
|
https://github.com/dwang181/active-mixup
| 21 |
Neural networks are more productive teachers than human raters: Active mixup for data-efficient knowledge distillation from a blackbox model
|
https://scholar.google.com/scholar?cluster=13638644832048062910&hl=en&as_sdt=0,34
| 5 | 2,020 |
Deep Residual Flow for Out of Distribution Detection
| 64 |
cvpr
| 4 | 0 |
2023-06-03 02:43:36.568000
|
https://github.com/EvZissel/Residual-Flow
| 26 |
Deep residual flow for out of distribution detection
|
https://scholar.google.com/scholar?cluster=14899605525797830999&hl=en&as_sdt=0,5
| 2 | 2,020 |
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions
| 188 |
cvpr
| 25 | 5 |
2023-06-03 02:43:36.769000
|
https://github.com/cc-hpc-itwm/UpConv
| 123 |
Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions
|
https://scholar.google.com/scholar?cluster=18044048085015580055&hl=en&as_sdt=0,5
| 6 | 2,020 |
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
| 287 |
cvpr
| 50 | 22 |
2023-06-03 02:43:36.970000
|
https://github.com/microsoft/SGN
| 158 |
Semantics-guided neural networks for efficient skeleton-based human action recognition
|
https://scholar.google.com/scholar?cluster=2966382181393438868&hl=en&as_sdt=0,33
| 10 | 2,020 |
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