title
stringlengths 8
155
| citations_google_scholar
int64 0
28.9k
| conference
stringclasses 5
values | forks
int64 0
46.3k
| issues
int64 0
12.2k
| lastModified
stringlengths 19
26
| repo_url
stringlengths 26
130
| stars
int64 0
75.9k
| title_google_scholar
stringlengths 8
155
| url_google_scholar
stringlengths 75
206
| watchers
int64 0
2.77k
| year
int64 2.02k
2.02k
|
---|---|---|---|---|---|---|---|---|---|---|---|
Spherical Confidence Learning for Face Recognition
| 37 |
cvpr
| 7 | 2 |
2023-06-03 13:16:10.780000
|
https://github.com/MathsShen/SCF
| 71 |
Spherical confidence learning for face recognition
|
https://scholar.google.com/scholar?cluster=2804038155970346173&hl=en&as_sdt=0,33
| 1 | 2,021 |
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals
| 571 |
cvpr
| 181 | 33 |
2023-06-03 13:16:10.980000
|
https://github.com/PeizeSun/SparseR-CNN
| 1,243 |
Sparse r-cnn: End-to-end object detection with learnable proposals
|
https://scholar.google.com/scholar?cluster=2104521862399993019&hl=en&as_sdt=0,5
| 18 | 2,021 |
Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses
| 8 |
cvpr
| 3 | 2 |
2023-06-03 13:16:11.172000
|
https://github.com/yi-ming-qian/roofgan
| 31 |
Roof-gan: Learning to generate roof geometry and relations for residential houses
|
https://scholar.google.com/scholar?cluster=13615776309818015997&hl=en&as_sdt=0,5
| 4 | 2,021 |
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation
| 93 |
cvpr
| 25 | 6 |
2023-06-03 13:16:11.364000
|
https://github.com/joe-siyuan-qiao/ViP-DeepLab
| 205 |
Vip-deeplab: Learning visual perception with depth-aware video panoptic segmentation
|
https://scholar.google.com/scholar?cluster=9655790843364940778&hl=en&as_sdt=0,5
| 13 | 2,021 |
How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines
| 8 |
cvpr
| 4 | 1 |
2023-06-03 13:16:11.555000
|
https://github.com/kunalchelani/Line2Point
| 37 |
How privacy-preserving are line clouds? recovering scene details from 3d lines
|
https://scholar.google.com/scholar?cluster=6922577891184748806&hl=en&as_sdt=0,29
| 2 | 2,021 |
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
| 1 |
cvpr
| 4 | 0 |
2023-06-03 13:16:11.746000
|
https://github.com/katieluo88/staypositive
| 26 |
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
|
https://scholar.google.com/scholar?cluster=8999551926409003763&hl=en&as_sdt=0,47
| 3 | 2,021 |
Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance
| 10 |
cvpr
| 4 | 0 |
2023-06-03 13:16:11.938000
|
https://github.com/za-cheng/PM-PMVS
| 63 |
Multi-view 3d reconstruction of a texture-less smooth surface of unknown generic reflectance
|
https://scholar.google.com/scholar?cluster=14122645277689137445&hl=en&as_sdt=0,5
| 11 | 2,021 |
Regularizing Generative Adversarial Networks Under Limited Data
| 79 |
cvpr
| 17 | 3 |
2023-06-03 13:16:12.132000
|
https://github.com/google/lecam-gan
| 156 |
Regularizing generative adversarial networks under limited data
|
https://scholar.google.com/scholar?cluster=2171644461537225779&hl=en&as_sdt=0,5
| 11 | 2,021 |
PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification
| 18 |
cvpr
| 6 | 2 |
2023-06-03 13:16:12.323000
|
https://github.com/emdata-ailab/PhD-Learning
| 13 |
Phd learning: Learning with pompeiu-hausdorff distances for video-based vehicle re-identification
|
https://scholar.google.com/scholar?cluster=15651193690723423145&hl=en&as_sdt=0,33
| 1 | 2,021 |
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
| 108 |
cvpr
| 46,273 | 1,204 |
2023-06-03 13:16:12.515000
|
https://github.com/tensorflow/models
| 75,885 |
Mobiledets: Searching for object detection architectures for mobile accelerators
|
https://scholar.google.com/scholar?cluster=11292448814138773366&hl=en&as_sdt=0,5
| 2,774 | 2,021 |
Regularizing Neural Networks via Adversarial Model Perturbation
| 62 |
cvpr
| 8 | 1 |
2023-06-03 13:16:12.707000
|
https://github.com/hiyouga/AMP-Regularizer
| 31 |
Regularizing neural networks via adversarial model perturbation
|
https://scholar.google.com/scholar?cluster=159593877140258646&hl=en&as_sdt=0,44
| 2 | 2,021 |
Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times
| 3 |
cvpr
| 2 | 3 |
2023-06-03 13:16:12.902000
|
https://github.com/omer11a/digital-gimbal
| 12 |
Digital gimbal: End-to-end deep image stabilization with learnable exposure times
|
https://scholar.google.com/scholar?cluster=260596067970143906&hl=en&as_sdt=0,5
| 2 | 2,021 |
Open World Compositional Zero-Shot Learning
| 60 |
cvpr
| 21 | 6 |
2023-06-03 13:16:13.094000
|
https://github.com/ExplainableML/czsl
| 85 |
Open world compositional zero-shot learning
|
https://scholar.google.com/scholar?cluster=17915577558306787897&hl=en&as_sdt=0,31
| 4 | 2,021 |
Continual Learning via Bit-Level Information Preserving
| 19 |
cvpr
| 3 | 1 |
2023-06-03 13:16:13.286000
|
https://github.com/Yujun-Shi/BLIP
| 37 |
Continual learning via bit-level information preserving
|
https://scholar.google.com/scholar?cluster=5481229777141324219&hl=en&as_sdt=0,31
| 2 | 2,021 |
Contrastive Neural Architecture Search With Neural Architecture Comparators
| 29 |
cvpr
| 4 | 0 |
2023-06-03 13:16:13.477000
|
https://github.com/chenyaofo/CTNAS
| 36 |
Contrastive neural architecture search with neural architecture comparators
|
https://scholar.google.com/scholar?cluster=6536937962792264866&hl=en&as_sdt=0,5
| 6 | 2,021 |
Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach
| 24 |
cvpr
| 24 | 3 |
2023-06-03 13:16:13.669000
|
https://github.com/SHI-Labs/Rethinking-Text-Segmentation
| 201 |
Rethinking text segmentation: A novel dataset and a text-specific refinement approach
|
https://scholar.google.com/scholar?cluster=85559860054228346&hl=en&as_sdt=0,5
| 17 | 2,021 |
SIPSA-Net: Shift-Invariant Pan Sharpening With Moving Object Alignment for Satellite Imagery
| 13 |
cvpr
| 1 | 2 |
2023-06-03 13:16:13.867000
|
https://github.com/brachiohyup/SIPSA
| 14 |
Sipsa-net: Shift-invariant pan sharpening with moving object alignment for satellite imagery
|
https://scholar.google.com/scholar?cluster=10916348569860936671&hl=en&as_sdt=0,5
| 1 | 2,021 |
HOTR: End-to-End Human-Object Interaction Detection With Transformers
| 140 |
cvpr
| 20 | 14 |
2023-06-03 13:16:14.062000
|
https://github.com/kakaobrain/HOTR
| 122 |
Hotr: End-to-end human-object interaction detection with transformers
|
https://scholar.google.com/scholar?cluster=12457555581764369519&hl=en&as_sdt=0,22
| 6 | 2,021 |
Unpaired Image-to-Image Translation via Latent Energy Transport
| 22 |
cvpr
| 9 | 1 |
2023-06-03 13:16:14.254000
|
https://github.com/YangNaruto/latent-energy-transport
| 43 |
Unpaired image-to-image translation via latent energy transport
|
https://scholar.google.com/scholar?cluster=3604013830472222214&hl=en&as_sdt=0,5
| 3 | 2,021 |
Generalizable Pedestrian Detection: The Elephant in the Room
| 78 |
cvpr
| 153 | 0 |
2023-06-03 13:16:14.446000
|
https://github.com/hasanirtiza/Pedestron
| 631 |
Generalizable pedestrian detection: The elephant in the room
|
https://scholar.google.com/scholar?cluster=1841952340529293898&hl=en&as_sdt=0,11
| 18 | 2,021 |
STMTrack: Template-Free Visual Tracking With Space-Time Memory Networks
| 128 |
cvpr
| 13 | 9 |
2023-06-03 13:16:14.637000
|
https://github.com/fzh0917/STMTrack
| 70 |
Stmtrack: Template-free visual tracking with space-time memory networks
|
https://scholar.google.com/scholar?cluster=15248432581458880980&hl=en&as_sdt=0,43
| 2 | 2,021 |
Triple-Cooperative Video Shadow Detection
| 23 |
cvpr
| 4 | 1 |
2023-06-03 13:16:14.829000
|
https://github.com/eraserNut/ViSha
| 25 |
Triple-cooperative video shadow detection
|
https://scholar.google.com/scholar?cluster=14498873794346957980&hl=en&as_sdt=0,10
| 4 | 2,021 |
3D-to-2D Distillation for Indoor Scene Parsing
| 30 |
cvpr
| 3 | 7 |
2023-06-03 13:16:15.021000
|
https://github.com/liuzhengzhe/3D-to-2D-Distillation-for-Indoor-Scene-Parsing
| 44 |
3d-to-2d distillation for indoor scene parsing
|
https://scholar.google.com/scholar?cluster=1157879971757768482&hl=en&as_sdt=0,34
| 3 | 2,021 |
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis
| 5 |
cvpr
| 0 | 0 |
2023-06-03 13:16:15.213000
|
https://github.com/AlvinZhuyx/camera_pose_representation
| 16 |
Learning neural representation of camera pose with matrix representation of pose shift via view synthesis
|
https://scholar.google.com/scholar?cluster=11279118821440888049&hl=en&as_sdt=0,5
| 2 | 2,021 |
Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification
| 63 |
cvpr
| 4 | 0 |
2023-06-03 13:16:15.405000
|
https://github.com/2han9x1a0release/RLCC
| 9 |
Refining pseudo labels with clustering consensus over generations for unsupervised object re-identification
|
https://scholar.google.com/scholar?cluster=9495158567965592980&hl=en&as_sdt=0,23
| 1 | 2,021 |
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models
| 88 |
cvpr
| 13 | 2 |
2023-06-03 13:16:15.597000
|
https://github.com/VITA-Group/CV_LTH_Pre-training
| 61 |
The lottery tickets hypothesis for supervised and self-supervised pre-training in computer vision models
|
https://scholar.google.com/scholar?cluster=9665171368816644761&hl=en&as_sdt=0,5
| 14 | 2,021 |
PML: Progressive Margin Loss for Long-Tailed Age Classification
| 38 |
cvpr
| 2 | 2 |
2023-06-03 13:16:15.788000
|
https://github.com/SanyeungWang/PML
| 12 |
Pml: Progressive margin loss for long-tailed age classification
|
https://scholar.google.com/scholar?cluster=18212278929738151115&hl=en&as_sdt=0,5
| 1 | 2,021 |
Single Image Depth Prediction With Wavelet Decomposition
| 38 |
cvpr
| 36 | 0 |
2023-06-03 13:16:15.980000
|
https://github.com/nianticlabs/wavelet-monodepth
| 214 |
Single image depth prediction with wavelet decomposition
|
https://scholar.google.com/scholar?cluster=7966803353137342558&hl=en&as_sdt=0,39
| 12 | 2,021 |
EnD: Entangling and Disentangling Deep Representations for Bias Correction
| 64 |
cvpr
| 3 | 1 |
2023-06-03 13:16:16.172000
|
https://github.com/EIDOSlab/entangling-disentangling-bias
| 15 |
End: Entangling and disentangling deep representations for bias correction
|
https://scholar.google.com/scholar?cluster=2823444988595280671&hl=en&as_sdt=0,44
| 4 | 2,021 |
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
| 78 |
cvpr
| 22 | 6 |
2023-06-03 13:16:16.363000
|
https://github.com/pkuanjie/ArtFlow
| 133 |
Artflow: Unbiased image style transfer via reversible neural flows
|
https://scholar.google.com/scholar?cluster=3369519100876703278&hl=en&as_sdt=0,1
| 6 | 2,021 |
Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter
| 8 |
cvpr
| 11 | 6 |
2023-06-03 13:16:16.554000
|
https://github.com/Wang-Tianwei/Implicit-feature-alignment
| 60 |
Implicit feature alignment: learn to convert text recognizer to text spotter
|
https://scholar.google.com/scholar?cluster=16153700515830086108&hl=en&as_sdt=0,5
| 4 | 2,021 |
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
| 62 |
cvpr
| 12 | 2 |
2023-06-03 13:16:16.746000
|
https://github.com/ruiliu-ai/DivCo
| 65 |
Divco: Diverse conditional image synthesis via contrastive generative adversarial network
|
https://scholar.google.com/scholar?cluster=3013413064043278208&hl=en&as_sdt=0,33
| 3 | 2,021 |
KOALAnet: Blind Super-Resolution Using Kernel-Oriented Adaptive Local Adjustment
| 38 |
cvpr
| 4 | 2 |
2023-06-03 13:16:16.938000
|
https://github.com/hjSim/KOALAnet
| 33 |
Koalanet: Blind super-resolution using kernel-oriented adaptive local adjustment
|
https://scholar.google.com/scholar?cluster=7559850928591885532&hl=en&as_sdt=0,5
| 5 | 2,021 |
Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts
| 30 |
cvpr
| 10 | 0 |
2023-06-03 13:16:17.130000
|
https://github.com/zillow/zind
| 132 |
Zillow indoor dataset: Annotated floor plans with 360deg panoramas and 3d room layouts
|
https://scholar.google.com/scholar?cluster=480781525344538560&hl=en&as_sdt=0,5
| 16 | 2,021 |
Positive Sample Propagation Along the Audio-Visual Event Line
| 45 |
cvpr
| 10 | 0 |
2023-06-03 13:16:17.321000
|
https://github.com/jasongief/PSP_CVPR_2021
| 35 |
Positive sample propagation along the audio-visual event line
|
https://scholar.google.com/scholar?cluster=3043211004122309264&hl=en&as_sdt=0,39
| 3 | 2,021 |
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization
| 30 |
cvpr
| 3 | 4 |
2023-06-03 13:16:17.512000
|
https://github.com/deel-ai/deel-lip
| 70 |
Achieving robustness in classification using optimal transport with hinge regularization
|
https://scholar.google.com/scholar?cluster=14482711934050746997&hl=en&as_sdt=0,5
| 7 | 2,021 |
Distilling Causal Effect of Data in Class-Incremental Learning
| 116 |
cvpr
| 7 | 2 |
2023-06-03 13:16:17.704000
|
https://github.com/JoyHuYY1412/DDE_CIL
| 55 |
Distilling causal effect of data in class-incremental learning
|
https://scholar.google.com/scholar?cluster=616466842345848267&hl=en&as_sdt=0,5
| 2 | 2,021 |
Real-Time High-Resolution Background Matting
| 117 |
cvpr
| 920 | 39 |
2023-06-03 13:16:17.896000
|
https://github.com/PeterL1n/BackgroundMattingV2
| 6,294 |
Real-time high-resolution background matting
|
https://scholar.google.com/scholar?cluster=14815088791302815348&hl=en&as_sdt=0,48
| 147 | 2,021 |
Self-Supervised Geometric Perception
| 22 |
cvpr
| 2 | 0 |
2023-06-03 13:16:18.088000
|
https://github.com/theNded/SGP
| 145 |
Self-supervised geometric perception
|
https://scholar.google.com/scholar?cluster=12972960961540767864&hl=en&as_sdt=0,14
| 27 | 2,021 |
PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering
| 87 |
cvpr
| 33 | 2 |
2023-06-03 13:16:18.279000
|
https://github.com/janghyuncho/PiCIE
| 176 |
Picie: Unsupervised semantic segmentation using invariance and equivariance in clustering
|
https://scholar.google.com/scholar?cluster=14972346295060017825&hl=en&as_sdt=0,5
| 3 | 2,021 |
Metadata Normalization
| 12 |
cvpr
| 3 | 2 |
2023-06-03 13:16:18.470000
|
https://github.com/mlu355/MetadataNorm
| 18 |
Metadata normalization
|
https://scholar.google.com/scholar?cluster=2606098392012969749&hl=en&as_sdt=0,23
| 2 | 2,021 |
UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification
| 39 |
cvpr
| 8 | 6 |
2023-06-03 13:16:18.662000
|
https://github.com/FlyHighest/UnrealPerson
| 70 |
Unrealperson: An adaptive pipeline towards costless person re-identification
|
https://scholar.google.com/scholar?cluster=14136359213002758168&hl=en&as_sdt=0,44
| 4 | 2,021 |
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback
| 40 |
cvpr
| 10 | 2 |
2023-06-03 13:16:18.855000
|
https://github.com/postBG/CosMo.pytorch
| 57 |
Cosmo: Content-style modulation for image retrieval with text feedback
|
https://scholar.google.com/scholar?cluster=7877571534622037277&hl=en&as_sdt=0,5
| 3 | 2,021 |
A Multiplexed Network for End-to-End, Multilingual OCR
| 23 |
cvpr
| 6 | 0 |
2023-06-03 13:16:19.055000
|
https://github.com/facebookresearch/MultiplexedOCR
| 64 |
A multiplexed network for end-to-end, multilingual OCR
|
https://scholar.google.com/scholar?cluster=18230155525657851457&hl=en&as_sdt=0,47
| 19 | 2,021 |
Discriminative Appearance Modeling With Multi-Track Pooling for Real-Time Multi-Object Tracking
| 53 |
cvpr
| 3 | 0 |
2023-06-03 13:16:19.246000
|
https://github.com/chkim403/blstm-mtp
| 21 |
Discriminative appearance modeling with multi-track pooling for real-time multi-object tracking
|
https://scholar.google.com/scholar?cluster=11021460782125895378&hl=en&as_sdt=0,33
| 3 | 2,021 |
General Multi-Label Image Classification With Transformers
| 135 |
cvpr
| 35 | 6 |
2023-06-03 13:16:19.437000
|
https://github.com/QData/C-Tran
| 179 |
General multi-label image classification with transformers
|
https://scholar.google.com/scholar?cluster=13893159385470963321&hl=en&as_sdt=0,5
| 8 | 2,021 |
UAV-Human: A Large Benchmark for Human Behavior Understanding With Unmanned Aerial Vehicles
| 92 |
cvpr
| 9 | 8 |
2023-06-03 13:16:19.630000
|
https://github.com/SUTDCV/UAV-Human
| 143 |
Uav-human: A large benchmark for human behavior understanding with unmanned aerial vehicles
|
https://scholar.google.com/scholar?cluster=131638545922960226&hl=en&as_sdt=0,5
| 6 | 2,021 |
Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding
| 86 |
cvpr
| 1 | 5 |
2023-06-03 13:16:19.821000
|
https://github.com/liudaizong/CBLN
| 20 |
Context-aware biaffine localizing network for temporal sentence grounding
|
https://scholar.google.com/scholar?cluster=13944337781888254186&hl=en&as_sdt=0,25
| 7 | 2,021 |
Auto-Exposure Fusion for Single-Image Shadow Removal
| 67 |
cvpr
| 28 | 12 |
2023-06-03 13:16:20.013000
|
https://github.com/tsingqguo/exposure-fusion-shadow-removal
| 156 |
Auto-exposure fusion for single-image shadow removal
|
https://scholar.google.com/scholar?cluster=8800214440851984824&hl=en&as_sdt=0,3
| 7 | 2,021 |
Populating 3D Scenes by Learning Human-Scene Interaction
| 59 |
cvpr
| 11 | 9 |
2023-06-03 13:16:20.204000
|
https://github.com/mohamedhassanmus/POSA
| 87 |
Populating 3D scenes by learning human-scene interaction
|
https://scholar.google.com/scholar?cluster=15438549382159555424&hl=en&as_sdt=0,5
| 3 | 2,021 |
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
| 201 |
cvpr
| 58 | 10 |
2023-06-03 13:16:20.396000
|
https://github.com/weihaox/TediGAN
| 335 |
Tedigan: Text-guided diverse face image generation and manipulation
|
https://scholar.google.com/scholar?cluster=2355571043587775935&hl=en&as_sdt=0,5
| 10 | 2,021 |
Exploring Sparsity in Image Super-Resolution for Efficient Inference
| 114 |
cvpr
| 28 | 20 |
2023-06-03 13:16:20.588000
|
https://github.com/LongguangWang/SMSR
| 228 |
Exploring sparsity in image super-resolution for efficient inference
|
https://scholar.google.com/scholar?cluster=2087939017149023760&hl=en&as_sdt=0,33
| 7 | 2,021 |
Simpler Certified Radius Maximization by Propagating Covariances
| 3 |
cvpr
| 1 | 0 |
2023-06-03 13:16:20.779000
|
https://github.com/zhenxingjian/Propagating_Covariance
| 4 |
Simpler certified radius maximization by propagating covariances
|
https://scholar.google.com/scholar?cluster=9172669133376835254&hl=en&as_sdt=0,33
| 2 | 2,021 |
StylePeople: A Generative Model of Fullbody Human Avatars
| 38 |
cvpr
| 6 | 0 |
2023-06-03 13:16:20.973000
|
https://github.com/Dolorousrtur/style-people
| 23 |
Stylepeople: A generative model of fullbody human avatars
|
https://scholar.google.com/scholar?cluster=10279676245017267770&hl=en&as_sdt=0,5
| 1 | 2,021 |
Memory-Efficient Network for Large-Scale Video Compressive Sensing
| 39 |
cvpr
| 3 | 1 |
2023-06-03 13:16:21.165000
|
https://github.com/BoChenGroup/RevSCI-net
| 20 |
Memory-efficient network for large-scale video compressive sensing
|
https://scholar.google.com/scholar?cluster=16316385234608503752&hl=en&as_sdt=0,31
| 1 | 2,021 |
Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction
| 49 |
cvpr
| 18 | 1 |
2023-06-03 13:16:21.356000
|
https://github.com/AljazBozic/NeuralGraph
| 141 |
Neural deformation graphs for globally-consistent non-rigid reconstruction
|
https://scholar.google.com/scholar?cluster=12870418421299018371&hl=en&as_sdt=0,23
| 6 | 2,021 |
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search
| 30 |
cvpr
| 10 | 4 |
2023-06-03 13:16:21.548000
|
https://github.com/luminxu/ViPNAS
| 43 |
Vipnas: Efficient video pose estimation via neural architecture search
|
https://scholar.google.com/scholar?cluster=463881621209957672&hl=en&as_sdt=0,7
| 5 | 2,021 |
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
| 100 |
cvpr
| 9 | 6 |
2023-06-03 13:16:21.746000
|
https://github.com/jbeomlee93/BBAM
| 93 |
Bbam: Bounding box attribution map for weakly supervised semantic and instance segmentation
|
https://scholar.google.com/scholar?cluster=13387821059089379890&hl=en&as_sdt=0,14
| 5 | 2,021 |
Amalgamating Knowledge From Heterogeneous Graph Neural Networks
| 52 |
cvpr
| 1 | 2 |
2023-06-03 13:16:21.937000
|
https://github.com/ycjing/AmalgamateGNN.PyTorch
| 15 |
Amalgamating knowledge from heterogeneous graph neural networks
|
https://scholar.google.com/scholar?cluster=8671883522813146854&hl=en&as_sdt=0,44
| 2 | 2,021 |
Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement
| 207 |
cvpr
| 24 | 6 |
2023-06-03 13:16:22.129000
|
https://github.com/KarelZhang/RUAS
| 76 |
Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement
|
https://scholar.google.com/scholar?cluster=3809086358231988437&hl=en&as_sdt=0,5
| 3 | 2,021 |
Predator: Registration of 3D Point Clouds With Low Overlap
| 195 |
cvpr
| 57 | 5 |
2023-06-03 13:16:22.321000
|
https://github.com/ShengyuH/OverlapPredator
| 363 |
Predator: Registration of 3d point clouds with low overlap
|
https://scholar.google.com/scholar?cluster=15458777390719597114&hl=en&as_sdt=0,5
| 12 | 2,021 |
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
| 74 |
cvpr
| 23 | 2 |
2023-06-03 13:16:22.512000
|
https://github.com/W-zx-Y/DANNet
| 100 |
Dannet: A one-stage domain adaptation network for unsupervised nighttime semantic segmentation
|
https://scholar.google.com/scholar?cluster=13005306794607282066&hl=en&as_sdt=0,5
| 2 | 2,021 |
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
| 64 |
cvpr
| 7 | 1 |
2023-06-03 13:16:22.704000
|
https://github.com/lukemelas/pixmatch
| 33 |
Pixmatch: Unsupervised domain adaptation via pixelwise consistency training
|
https://scholar.google.com/scholar?cluster=16396239953331018584&hl=en&as_sdt=0,5
| 4 | 2,021 |
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
| 103 |
cvpr
| 17 | 10 |
2023-06-03 13:16:22.896000
|
https://github.com/ShiQiu0419/BAAF-Net
| 95 |
Semantic segmentation for real point cloud scenes via bilateral augmentation and adaptive fusion
|
https://scholar.google.com/scholar?cluster=2401797052665971808&hl=en&as_sdt=0,33
| 6 | 2,021 |
DI-Fusion: Online Implicit 3D Reconstruction With Deep Priors
| 46 |
cvpr
| 11 | 3 |
2023-06-03 13:16:23.088000
|
https://github.com/huangjh-pub/di-fusion
| 107 |
Di-fusion: Online implicit 3d reconstruction with deep priors
|
https://scholar.google.com/scholar?cluster=10163665950409560820&hl=en&as_sdt=0,5
| 3 | 2,021 |
Learning Graph Embeddings for Compositional Zero-Shot Learning
| 80 |
cvpr
| 21 | 6 |
2023-06-03 13:16:23.281000
|
https://github.com/ExplainableML/czsl
| 85 |
Learning graph embeddings for compositional zero-shot learning
|
https://scholar.google.com/scholar?cluster=16016610818419068365&hl=en&as_sdt=0,5
| 4 | 2,021 |
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation
| 11 |
cvpr
| 4 | 2 |
2023-06-03 13:16:23.473000
|
https://github.com/KhrulkovV/NeuralSBS
| 14 |
Neural side-by-side: Predicting human preferences for no-reference super-resolution evaluation
|
https://scholar.google.com/scholar?cluster=12587015866754201082&hl=en&as_sdt=0,5
| 2 | 2,021 |
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification
| 93 |
cvpr
| 23 | 3 |
2023-06-03 13:16:23.665000
|
https://github.com/HeliosZhao/M3L
| 52 |
Learning to generalize unseen domains via memory-based multi-source meta-learning for person re-identification
|
https://scholar.google.com/scholar?cluster=14604118849107032618&hl=en&as_sdt=0,41
| 3 | 2,021 |
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics
| 19 |
cvpr
| 0 | 0 |
2023-06-03 13:16:23.866000
|
https://github.com/git-disl/DP-Ensemble
| 4 |
Boosting ensemble accuracy by revisiting ensemble diversity metrics
|
https://scholar.google.com/scholar?cluster=17960956130360902631&hl=en&as_sdt=0,33
| 4 | 2,021 |
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
| 87 |
cvpr
| 108 | 1 |
2023-06-03 13:16:24.062000
|
https://github.com/vitoralbiero/img2pose
| 537 |
img2pose: Face alignment and detection via 6dof, face pose estimation
|
https://scholar.google.com/scholar?cluster=4532542063231978095&hl=en&as_sdt=0,21
| 23 | 2,021 |
Binary TTC: A Temporal Geofence for Autonomous Navigation
| 18 |
cvpr
| 9 | 2 |
2023-06-03 13:16:24.255000
|
https://github.com/NVlabs/BiTTC
| 47 |
Binary ttc: A temporal geofence for autonomous navigation
|
https://scholar.google.com/scholar?cluster=5422438333716948548&hl=en&as_sdt=0,5
| 9 | 2,021 |
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization
| 31 |
cvpr
| 7 | 2 |
2023-06-03 13:16:24.446000
|
https://github.com/IRMVLab/PWCLONet
| 46 |
Pwclo-net: Deep lidar odometry in 3d point clouds using hierarchical embedding mask optimization
|
https://scholar.google.com/scholar?cluster=7292224928962753730&hl=en&as_sdt=0,14
| 4 | 2,021 |
Limitations of Post-Hoc Feature Alignment for Robustness
| 17 |
cvpr
| 1 | 0 |
2023-06-03 13:16:24.638000
|
https://github.com/collin-burns/feature-alignment
| 9 |
Limitations of post-hoc feature alignment for robustness
|
https://scholar.google.com/scholar?cluster=10007615184186415315&hl=en&as_sdt=0,5
| 1 | 2,021 |
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias
| 20 |
cvpr
| 0 | 1 |
2023-06-03 13:16:24.829000
|
https://github.com/yzhao520/CPP
| 9 |
Camera pose matters: Improving depth prediction by mitigating pose distribution bias
|
https://scholar.google.com/scholar?cluster=159639015212632476&hl=en&as_sdt=0,44
| 5 | 2,021 |
Trajectory Prediction With Latent Belief Energy-Based Model
| 47 |
cvpr
| 4 | 1 |
2023-06-03 13:16:25.020000
|
https://github.com/bpucla/lbebm
| 14 |
Trajectory prediction with latent belief energy-based model
|
https://scholar.google.com/scholar?cluster=16762426174098635430&hl=en&as_sdt=0,31
| 3 | 2,021 |
Dynamic Slimmable Network
| 78 |
cvpr
| 19 | 5 |
2023-06-03 13:16:25.212000
|
https://github.com/changlin31/DS-Net
| 206 |
Dynamic slimmable network
|
https://scholar.google.com/scholar?cluster=4748499622697401157&hl=en&as_sdt=0,5
| 9 | 2,021 |
Coordinate Attention for Efficient Mobile Network Design
| 1,251 |
cvpr
| 111 | 40 |
2023-06-03 13:16:25.403000
|
https://github.com/Andrew-Qibin/CoordAttention
| 812 |
Coordinate attention for efficient mobile network design
|
https://scholar.google.com/scholar?cluster=3090051676751795724&hl=en&as_sdt=0,23
| 9 | 2,021 |
UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers
| 333 |
cvpr
| 68 | 5 |
2023-06-03 13:16:25.595000
|
https://github.com/dddzg/up-detr
| 445 |
Up-detr: Unsupervised pre-training for object detection with transformers
|
https://scholar.google.com/scholar?cluster=10828507269261066901&hl=en&as_sdt=0,13
| 13 | 2,021 |
Domain-Independent Dominance of Adaptive Methods
| 16 |
cvpr
| 3 | 1 |
2023-06-03 13:16:25.786000
|
https://github.com/lolemacs/avagrad
| 5 |
Domain-independent dominance of adaptive methods
|
https://scholar.google.com/scholar?cluster=4724538541608089973&hl=en&as_sdt=0,5
| 4 | 2,021 |
Intentonomy: A Dataset and Study Towards Human Intent Understanding
| 15 |
cvpr
| 3 | 2 |
2023-06-03 13:16:25.977000
|
https://github.com/KMnP/intentonomy
| 30 |
Intentonomy: a dataset and study towards human intent understanding
|
https://scholar.google.com/scholar?cluster=5268870345003195142&hl=en&as_sdt=0,5
| 6 | 2,021 |
Weakly Supervised Learning of Rigid 3D Scene Flow
| 52 |
cvpr
| 17 | 0 |
2023-06-03 13:16:26.170000
|
https://github.com/zgojcic/Rigid3DSceneFlow
| 125 |
Weakly supervised learning of rigid 3D scene flow
|
https://scholar.google.com/scholar?cluster=12559706025847463188&hl=en&as_sdt=0,5
| 7 | 2,021 |
SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
| 62 |
cvpr
| 12 | 6 |
2023-06-03 13:16:26.362000
|
https://github.com/qianlim/SCALE
| 137 |
SCALE: Modeling clothed humans with a surface codec of articulated local elements
|
https://scholar.google.com/scholar?cluster=719449730726585903&hl=en&as_sdt=0,36
| 8 | 2,021 |
End-to-End Rotation Averaging With Multi-Source Propagation
| 12 |
cvpr
| 0 | 1 |
2023-06-03 13:16:26.554000
|
https://github.com/sfu-gruvi-3dv/msp_rot_avg
| 4 |
End-to-end rotation averaging with multi-source propagation
|
https://scholar.google.com/scholar?cluster=13738694698799406974&hl=en&as_sdt=0,38
| 4 | 2,021 |
Efficient Regional Memory Network for Video Object Segmentation
| 80 |
cvpr
| 14 | 5 |
2023-06-03 13:16:26.749000
|
https://github.com/hzxie/RMNet
| 80 |
Efficient regional memory network for video object segmentation
|
https://scholar.google.com/scholar?cluster=988648905528030221&hl=en&as_sdt=0,11
| 6 | 2,021 |
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks
| 23 |
cvpr
| 14 | 2 |
2023-06-03 13:16:26.941000
|
https://github.com/uber-research/permute-quantize-finetune
| 138 |
Permute, quantize, and fine-tune: Efficient compression of neural networks
|
https://scholar.google.com/scholar?cluster=9142582804391009886&hl=en&as_sdt=0,15
| 10 | 2,021 |
Learning Placeholders for Open-Set Recognition
| 101 |
cvpr
| 5 | 0 |
2023-06-03 13:16:27.134000
|
https://github.com/zhoudw-zdw/CVPR21-Proser
| 62 |
Learning placeholders for open-set recognition
|
https://scholar.google.com/scholar?cluster=3578115835054885638&hl=en&as_sdt=0,11
| 1 | 2,021 |
Learning Triadic Belief Dynamics in Nonverbal Communication From Videos
| 12 |
cvpr
| 1 | 1 |
2023-06-03 13:16:27.325000
|
https://github.com/LifengFan/Triadic-Belief-Dynamics
| 24 |
Learning triadic belief dynamics in nonverbal communication from videos
|
https://scholar.google.com/scholar?cluster=15365483338824697316&hl=en&as_sdt=0,10
| 1 | 2,021 |
Rethinking and Improving the Robustness of Image Style Transfer
| 61 |
cvpr
| 8 | 3 |
2023-06-03 13:16:27.517000
|
https://github.com/peiwang062/swag
| 68 |
Rethinking and improving the robustness of image style transfer
|
https://scholar.google.com/scholar?cluster=1388867253415843451&hl=en&as_sdt=0,11
| 2 | 2,021 |
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
| 150 |
cvpr
| 10 | 2 |
2023-06-03 13:16:27.709000
|
https://github.com/Reagan1311/ASGNet
| 100 |
Adaptive prototype learning and allocation for few-shot segmentation
|
https://scholar.google.com/scholar?cluster=6066343110768130599&hl=en&as_sdt=0,5
| 4 | 2,021 |
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
| 16 |
cvpr
| 5 | 0 |
2023-06-03 13:16:27.901000
|
https://github.com/junhocho/HGCAE
| 39 |
Unsupervised hyperbolic representation learning via message passing auto-encoders
|
https://scholar.google.com/scholar?cluster=935372689415120335&hl=en&as_sdt=0,5
| 3 | 2,021 |
Im2Vec: Synthesizing Vector Graphics Without Vector Supervision
| 49 |
cvpr
| 41 | 7 |
2023-06-03 13:16:28.093000
|
https://github.com/preddy5/Im2Vec
| 248 |
Im2vec: Synthesizing vector graphics without vector supervision
|
https://scholar.google.com/scholar?cluster=11546943917570278518&hl=en&as_sdt=0,5
| 8 | 2,021 |
HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection
| 62 |
cvpr
| 10 | 10 |
2023-06-03 13:16:28.284000
|
https://github.com/cvlab-yonsei/HVPR
| 41 |
Hvpr: Hybrid voxel-point representation for single-stage 3d object detection
|
https://scholar.google.com/scholar?cluster=4407966554044764458&hl=en&as_sdt=0,44
| 4 | 2,021 |
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts
| 141 |
cvpr
| 29 | 12 |
2023-06-03 13:16:28.476000
|
https://github.com/facebookresearch/ContrastiveSceneContexts
| 202 |
Exploring data-efficient 3d scene understanding with contrastive scene contexts
|
https://scholar.google.com/scholar?cluster=13865762697551268322&hl=en&as_sdt=0,33
| 14 | 2,021 |
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition
| 56 |
cvpr
| 4 | 1 |
2023-06-03 13:16:28.669000
|
https://github.com/Yan-Xia/SOE-Net
| 27 |
SOE-Net: A self-attention and orientation encoding network for point cloud based place recognition
|
https://scholar.google.com/scholar?cluster=5474105332958847763&hl=en&as_sdt=0,44
| 1 | 2,021 |
Deep Video Matting via Spatio-Temporal Alignment and Aggregation
| 27 |
cvpr
| 6 | 6 |
2023-06-03 14:28:28.573000
|
https://github.com/nowsyn/DVM
| 81 |
Deep video matting via spatio-temporal alignment and aggregation
|
https://scholar.google.com/scholar?cluster=9990319638495859460&hl=en&as_sdt=0,5
| 11 | 2,021 |
ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
| 1 |
cvpr
| 1 | 2 |
2023-06-03 14:28:28.766000
|
https://github.com/MingyuY/Iterative-view-synthesis
| 17 |
ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
|
https://scholar.google.com/scholar?cluster=337572587298032510&hl=en&as_sdt=0,5
| 3 | 2,021 |
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
| 134 |
cvpr
| 7 | 14 |
2023-06-03 14:28:28.960000
|
https://github.com/NUST-Machine-Intelligence-Laboratory/nsrom
| 29 |
Non-salient region object mining for weakly supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=9153345519997499260&hl=en&as_sdt=0,5
| 3 | 2,021 |
Adaptive Class Suppression Loss for Long-Tail Object Detection
| 48 |
cvpr
| 17 | 8 |
2023-06-03 14:28:29.153000
|
https://github.com/CASIA-IVA-Lab/ACSL
| 70 |
Adaptive class suppression loss for long-tail object detection
|
https://scholar.google.com/scholar?cluster=12268764715246462942&hl=en&as_sdt=0,5
| 5 | 2,021 |
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation
| 11 |
cvpr
| 2 | 1 |
2023-06-03 14:28:29.346000
|
https://github.com/gudovskiy/autodo
| 23 |
Autodo: Robust autoaugment for biased data with label noise via scalable probabilistic implicit differentiation
|
https://scholar.google.com/scholar?cluster=7377035415006974852&hl=en&as_sdt=0,33
| 3 | 2,021 |
Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging
| 11 |
cvpr
| 4 | 0 |
2023-06-03 14:28:29.547000
|
https://github.com/princeton-computational-imaging/MaskToF
| 12 |
Mask-tof: Learning microlens masks for flying pixel correction in time-of-flight imaging
|
https://scholar.google.com/scholar?cluster=11766099077329725847&hl=en&as_sdt=0,5
| 2 | 2,021 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.