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Noisy Boundaries: Lemon or Lemonade for Semi-Supervised Instance Segmentation? | 9 | cvpr | 5 | 10 | 2023-06-03 15:13:28.528000 | https://github.com/zhenyuw16/noisyboundaries | 33 | Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation? | https://scholar.google.com/scholar?cluster=15724815411476861632&hl=en&as_sdt=0,5 | 2 | 2,022 |
Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements | 16 | cvpr | 6 | 0 | 2023-06-03 15:13:28.724000 | https://github.com/edongdongchen/rei | 67 | Robust equivariant imaging: a fully unsupervised framework for learning to image from noisy and partial measurements | https://scholar.google.com/scholar?cluster=12586813991314668221&hl=en&as_sdt=0,5 | 2 | 2,022 |
End-to-End Semi-Supervised Learning for Video Action Detection | 11 | cvpr | 4 | 0 | 2023-06-03 15:13:28.934000 | https://github.com/AKASH2907/End-to-End-Semi-Supervised-Learning-for-Video-Action-Detection | 28 | End-to-end semi-supervised learning for video action detection | https://scholar.google.com/scholar?cluster=4985348020758011045&hl=en&as_sdt=0,5 | 1 | 2,022 |
Towards Layer-Wise Image Vectorization | 8 | cvpr | 36 | 1 | 2023-06-03 15:13:29.129000 | https://github.com/picsart-ai-research/live-layerwise-image-vectorization | 287 | Towards layer-wise image vectorization | https://scholar.google.com/scholar?cluster=3203694956328431306&hl=en&as_sdt=0,10 | 12 | 2,022 |
Deep Color Consistent Network for Low-Light Image Enhancement | 25 | cvpr | 0 | 0 | 2023-06-03 15:13:29.324000 | https://github.com/Ian0926/DCC-Net | 14 | Deep color consistent network for low-light image enhancement | https://scholar.google.com/scholar?cluster=12246009956123058651&hl=en&as_sdt=0,14 | 1 | 2,022 |
Scenic: A JAX Library for Computer Vision Research and Beyond | 36 | cvpr | 313 | 163 | 2023-06-03 15:13:29.521000 | https://github.com/google-research/scenic | 2,214 | Scenic: A JAX library for computer vision research and beyond | https://scholar.google.com/scholar?cluster=9687250935601109702&hl=en&as_sdt=0,5 | 37 | 2,022 |
Real-Time Object Detection for Streaming Perception | 16 | cvpr | 36 | 12 | 2023-06-03 15:13:29.716000 | https://github.com/yancie-yjr/StreamYOLO | 257 | Real-time object detection for streaming perception | https://scholar.google.com/scholar?cluster=10139464426827633103&hl=en&as_sdt=0,50 | 14 | 2,022 |
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters | 11 | cvpr | 2 | 2 | 2023-06-03 15:13:29.911000 | https://github.com/paulgavrikov/cnn-filter-db | 24 | Cnn filter db: An empirical investigation of trained convolutional filters | https://scholar.google.com/scholar?cluster=15125945935923890822&hl=en&as_sdt=0,11 | 2 | 2,022 |
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets | 2 | cvpr | 0 | 0 | 2023-06-03 15:13:30.105000 | https://github.com/vsingh-group/datasetpooling | 0 | Equivariance allows handling multiple nuisance variables when analyzing pooled neuroimaging datasets | https://scholar.google.com/scholar?cluster=10828542987860364997&hl=en&as_sdt=0,5 | 0 | 2,022 |
CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings | 5 | cvpr | 11 | 5 | 2023-06-03 15:13:30.300000 | https://github.com/vita-group/cadtransformer | 30 | Cadtransformer: Panoptic symbol spotting transformer for cad drawings | https://scholar.google.com/scholar?cluster=2657820499558458699&hl=en&as_sdt=0,5 | 14 | 2,022 |
ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning | 18 | cvpr | 15 | 2 | 2023-06-03 15:13:30.495000 | https://github.com/nvr-avg/scept | 55 | Scept: Scene-consistent, policy-based trajectory predictions for planning | https://scholar.google.com/scholar?cluster=16859171496249935243&hl=en&as_sdt=0,5 | 7 | 2,022 |
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning | 20 | cvpr | 17 | 4 | 2023-06-03 15:13:30.689000 | https://github.com/snap-research/mmvid | 152 | Show me what and tell me how: Video synthesis via multimodal conditioning | https://scholar.google.com/scholar?cluster=754350409916386261&hl=en&as_sdt=0,39 | 17 | 2,022 |
Bi-Level Alignment for Cross-Domain Crowd Counting | 7 | cvpr | 1 | 2 | 2023-06-03 15:13:30.884000 | https://github.com/yankeegsj/bla | 6 | Bi-level alignment for cross-domain crowd counting | https://scholar.google.com/scholar?cluster=885536784778493397&hl=en&as_sdt=0,5 | 2 | 2,022 |
IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization | 25 | cvpr | 2 | 0 | 2023-06-03 15:13:31.077000 | https://github.com/zysxmu/intraq | 24 | Intraq: Learning synthetic images with intra-class heterogeneity for zero-shot network quantization | https://scholar.google.com/scholar?cluster=7599323507608007973&hl=en&as_sdt=0,5 | 1 | 2,022 |
Confidence Propagation Cluster: Unleash Full Potential of Object Detectors | 1 | cvpr | 3 | 7 | 2023-06-03 15:13:31.272000 | https://github.com/shenyi0220/cp-cluster | 45 | Confidence Propagation Cluster: Unleash Full Potential of Object Detectors | https://scholar.google.com/scholar?cluster=5708961894169582507&hl=en&as_sdt=0,11 | 2 | 2,022 |
Efficient Multi-View Stereo by Iterative Dynamic Cost Volume | 7 | cvpr | 1 | 1 | 2023-06-03 15:13:31.466000 | https://github.com/bdwsq1996/effi-mvs | 36 | Efficient multi-view stereo by iterative dynamic cost volume | https://scholar.google.com/scholar?cluster=9228328506139728371&hl=en&as_sdt=0,5 | 6 | 2,022 |
I M Avatar: Implicit Morphable Head Avatars From Videos | 62 | cvpr | 53 | 2 | 2023-06-03 15:13:31.660000 | https://github.com/zhengyuf/imavatar | 534 | Im avatar: Implicit morphable head avatars from videos | https://scholar.google.com/scholar?cluster=16091393201921804100&hl=en&as_sdt=0,33 | 30 | 2,022 |
ISNet: Shape Matters for Infrared Small Target Detection | 23 | cvpr | 4 | 9 | 2023-06-03 15:13:31.855000 | https://github.com/ruizhang97/isnet | 73 | ISNET: Shape matters for infrared small target detection | https://scholar.google.com/scholar?cluster=13949452124724889742&hl=en&as_sdt=0,5 | 5 | 2,022 |
Learning To Generate Line Drawings That Convey Geometry and Semantics | 13 | cvpr | 37 | 14 | 2023-06-03 15:13:32.049000 | https://github.com/carolineec/informative-drawings | 259 | Learning to generate line drawings that convey geometry and semantics | https://scholar.google.com/scholar?cluster=13892686847311426908&hl=en&as_sdt=0,16 | 9 | 2,022 |
Spatial Commonsense Graph for Object Localisation in Partial Scenes | 6 | cvpr | 1 | 0 | 2023-06-03 15:13:32.243000 | https://github.com/fgiuliari/spatialcommonsensegraph-dataset | 6 | Spatial commonsense graph for object localisation in partial scenes | https://scholar.google.com/scholar?cluster=13436254565299915573&hl=en&as_sdt=0,10 | 4 | 2,022 |
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way | 25 | cvpr | 4 | 6 | 2023-06-03 15:13:32.438000 | https://github.com/dlut-dimt/segmar | 11 | Segment, magnify and reiterate: Detecting camouflaged objects the hard way | https://scholar.google.com/scholar?cluster=14180211102585612183&hl=en&as_sdt=0,5 | 2 | 2,022 |
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing | 20 | cvpr | 13 | 9 | 2023-06-03 15:13:32.632000 | https://github.com/billyxyb/transeditor | 143 | TransEditor: transformer-based dual-space GAN for highly controllable facial editing | https://scholar.google.com/scholar?cluster=5195996324889296393&hl=en&as_sdt=0,5 | 12 | 2,022 |
Multi-Modal Dynamic Graph Transformer for Visual Grounding | 3 | cvpr | 0 | 3 | 2023-06-03 15:13:32.826000 | https://github.com/iqua/m-dgt | 12 | Multi-Modal Dynamic Graph Transformer for Visual Grounding | https://scholar.google.com/scholar?cluster=137668874215711392&hl=en&as_sdt=0,11 | 1 | 2,022 |
Multi-Label Classification With Partial Annotations Using Class-Aware Selective Loss | 9 | cvpr | 18 | 9 | 2023-06-03 15:13:33.021000 | https://github.com/alibaba-miil/partiallabelingcsl | 109 | Multi-label classification with partial annotations using class-aware selective loss | https://scholar.google.com/scholar?cluster=5212568544334689745&hl=en&as_sdt=0,5 | 2 | 2,022 |
PointCLIP: Point Cloud Understanding by CLIP | 98 | cvpr | 21 | 9 | 2023-06-03 15:13:33.217000 | https://github.com/zrrskywalker/pointclip | 238 | Pointclip: Point cloud understanding by clip | https://scholar.google.com/scholar?cluster=17352749194221255073&hl=en&as_sdt=0,33 | 10 | 2,022 |
Weakly-Supervised Metric Learning With Cross-Module Communications for the Classification of Anterior Chamber Angle Images | 0 | cvpr | 2 | 0 | 2023-06-03 15:13:33.411000 | https://github.com/jingqi-h/gcnet | 3 | Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images | https://scholar.google.com/scholar?cluster=12963996817116900790&hl=en&as_sdt=0,14 | 1 | 2,022 |
Geometric Transformer for Fast and Robust Point Cloud Registration | 76 | cvpr | 33 | 11 | 2023-06-03 15:13:33.606000 | https://github.com/qinzheng93/geotransformer | 301 | Geometric transformer for fast and robust point cloud registration | https://scholar.google.com/scholar?cluster=2426792360309580188&hl=en&as_sdt=0,32 | 8 | 2,022 |
Rethinking Semantic Segmentation: A Prototype View | 78 | cvpr | 28 | 12 | 2023-06-03 15:13:33.800000 | https://github.com/tfzhou/protoseg | 273 | Rethinking semantic segmentation: A prototype view | https://scholar.google.com/scholar?cluster=608072213696684716&hl=en&as_sdt=0,25 | 17 | 2,022 |
Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation | 24 | cvpr | 2 | 0 | 2023-06-03 15:13:33.994000 | https://github.com/xiaoachen98/daln | 42 | Reusing the task-specific classifier as a discriminator: Discriminator-free adversarial domain adaptation | https://scholar.google.com/scholar?cluster=3673441406066018173&hl=en&as_sdt=0,5 | 3 | 2,022 |
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? | 1 | cvpr | 0 | 1 | 2023-06-03 15:13:34.189000 | https://github.com/nutellamok/demystifyingntk | 8 | Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? | https://scholar.google.com/scholar?cluster=13901165729995822789&hl=en&as_sdt=0,15 | 2 | 2,022 |
Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework | 15 | cvpr | 12 | 6 | 2023-06-03 15:13:34.384000 | https://github.com/salesforce/hierarchicalcontrastivelearning | 110 | Use all the labels: A hierarchical multi-label contrastive learning framework | https://scholar.google.com/scholar?cluster=6099615041197158188&hl=en&as_sdt=0,31 | 7 | 2,022 |
Bijective Mapping Network for Shadow Removal | 12 | cvpr | 3 | 4 | 2023-06-03 15:13:34.579000 | https://github.com/KevinJ-Huang/BMNet | 20 | Bijective mapping network for shadow removal | https://scholar.google.com/scholar?cluster=9438636493673559588&hl=en&as_sdt=0,10 | 5 | 2,022 |
SGTR: End-to-End Scene Graph Generation With Transformer | 31 | cvpr | 5 | 7 | 2023-06-03 15:13:34.773000 | https://github.com/scarecrow0/sgtr | 47 | Sgtr: End-to-end scene graph generation with transformer | https://scholar.google.com/scholar?cluster=9105314878135623559&hl=en&as_sdt=0,14 | 5 | 2,022 |
UMT: Unified Multi-Modal Transformers for Joint Video Moment Retrieval and Highlight Detection | 22 | cvpr | 10 | 3 | 2023-06-03 15:13:34.968000 | https://github.com/tencentarc/umt | 111 | Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection | https://scholar.google.com/scholar?cluster=15051557957683222248&hl=en&as_sdt=0,50 | 4 | 2,022 |
Causal Transportability for Visual Recognition | 10 | cvpr | 5 | 5 | 2023-06-03 15:13:35.162000 | https://github.com/cvlab-columbia/ct4recognition | 17 | Causal transportability for visual recognition | https://scholar.google.com/scholar?cluster=3436681948530085748&hl=en&as_sdt=0,5 | 3 | 2,022 |
Deep Depth From Focus With Differential Focus Volume | 6 | cvpr | 3 | 0 | 2023-06-03 15:13:35.357000 | https://github.com/fuy34/dfv | 14 | Deep Depth from Focus with Differential Focus Volume | https://scholar.google.com/scholar?cluster=5829644517820004180&hl=en&as_sdt=0,5 | 1 | 2,022 |
Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency | 4 | cvpr | 0 | 1 | 2023-06-03 15:13:35.552000 | https://github.com/ZijiaLewisLu/CVPR22-POC | 6 | Set-supervised action learning in procedural task videos via pairwise order consistency | https://scholar.google.com/scholar?cluster=4927415608110556903&hl=en&as_sdt=0,5 | 2 | 2,022 |
Image Disentanglement Autoencoder for Steganography Without Embedding | 8 | cvpr | 3 | 0 | 2023-06-03 15:13:35.746000 | https://github.com/lemok00/ideas | 23 | Image disentanglement autoencoder for steganography without embedding | https://scholar.google.com/scholar?cluster=2354197434468641333&hl=en&as_sdt=0,34 | 1 | 2,022 |
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection | 98 | cvpr | 435 | 118 | 2023-06-03 15:13:35.940000 | https://github.com/tensorflow/lingvo | 2,727 | Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection | https://scholar.google.com/scholar?cluster=14573809017701835851&hl=en&as_sdt=0,33 | 122 | 2,022 |
PolyWorld: Polygonal Building Extraction With Graph Neural Networks in Satellite Images | 18 | cvpr | 20 | 5 | 2023-06-03 15:13:36.135000 | https://github.com/zorzi-s/polyworldpretrainednetwork | 115 | Polyworld: Polygonal building extraction with graph neural networks in satellite images | https://scholar.google.com/scholar?cluster=234175643715724732&hl=en&as_sdt=0,5 | 7 | 2,022 |
DeepFace-EMD: Re-Ranking Using Patch-Wise Earth Mover's Distance Improves Out-of-Distribution Face Identification | 10 | cvpr | 7 | 0 | 2023-06-03 15:13:36.329000 | https://github.com/anguyen8/deepface-emd | 42 | DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification | https://scholar.google.com/scholar?cluster=13946665513578338312&hl=en&as_sdt=0,11 | 3 | 2,022 |
General Facial Representation Learning in a Visual-Linguistic Manner | 34 | cvpr | 16 | 11 | 2023-06-03 15:13:36.529000 | https://github.com/FacePerceiver/FaRL | 215 | General facial representation learning in a visual-linguistic manner | https://scholar.google.com/scholar?cluster=6522643289800107970&hl=en&as_sdt=0,14 | 5 | 2,022 |
HSC4D: Human-Centered 4D Scene Capture in Large-Scale Indoor-Outdoor Space Using Wearable IMUs and LiDAR | 6 | cvpr | 3 | 0 | 2023-06-03 15:13:36.730000 | https://github.com/climbingdaily/hsc4d | 58 | HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR | https://scholar.google.com/scholar?cluster=837427202429812220&hl=en&as_sdt=0,34 | 2 | 2,022 |
Face Relighting With Geometrically Consistent Shadows | 13 | cvpr | 15 | 1 | 2023-06-03 15:13:36.924000 | https://github.com/andrewhou1/geomconsistentfr | 78 | Face relighting with geometrically consistent shadows | https://scholar.google.com/scholar?cluster=10705686767249373971&hl=en&as_sdt=0,50 | 3 | 2,022 |
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation | 21 | cvpr | 28 | 16 | 2023-06-03 15:13:37.119000 | https://github.com/mit-han-lab/litepose | 255 | Lite pose: Efficient architecture design for 2d human pose estimation | https://scholar.google.com/scholar?cluster=1827737403068851453&hl=en&as_sdt=0,44 | 23 | 2,022 |
Interactiveness Field in Human-Object Interactions | 13 | cvpr | 2 | 2 | 2023-06-03 15:13:37.313000 | https://github.com/Foruck/Interactiveness-Field | 8 | Interactiveness field in human-object interactions | https://scholar.google.com/scholar?cluster=13043850091789705922&hl=en&as_sdt=0,5 | 1 | 2,022 |
Open-Set Text Recognition via Character-Context Decoupling | 5 | cvpr | 4 | 0 | 2023-06-03 15:13:37.525000 | https://github.com/lancercat/vsdf | 20 | Open-Set Text Recognition via Character-Context Decoupling | https://scholar.google.com/scholar?cluster=16404682401144579187&hl=en&as_sdt=0,22 | 4 | 2,022 |
It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher | 8 | cvpr | 2 | 1 | 2023-06-03 15:13:37.719000 | https://github.com/iamkanghyunchoi/ait | 25 | It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher | https://scholar.google.com/scholar?cluster=13927349012197070959&hl=en&as_sdt=0,10 | 3 | 2,022 |
Boosting Black-Box Attack With Partially Transferred Conditional Adversarial Distribution | 15 | cvpr | 1 | 3 | 2023-06-03 15:13:37.914000 | https://github.com/Kira0096/CGATTACK | 20 | Boosting black-box attack with partially transferred conditional adversarial distribution | https://scholar.google.com/scholar?cluster=5846433864811147875&hl=en&as_sdt=0,10 | 1 | 2,022 |
Image Animation With Perturbed Masks | 0 | cvpr | 1 | 4 | 2023-06-03 15:13:38.108000 | https://github.com/itsyoavshalev/Image-Animation-with-Perturbed-Masks | 9 | Image Animation with Perturbed Masks | https://scholar.google.com/scholar?cluster=11353454438481556470&hl=en&as_sdt=0,10 | 1 | 2,022 |
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-Resolution | 14 | cvpr | 16 | 15 | 2023-06-03 15:13:38.303000 | https://github.com/mjq11302010044/tatt | 126 | A text attention network for spatial deformation robust scene text image super-resolution | https://scholar.google.com/scholar?cluster=3353700071146365451&hl=en&as_sdt=0,47 | 2 | 2,022 |
Multi-Person Extreme Motion Prediction | 12 | cvpr | 1 | 0 | 2023-06-03 15:13:38.498000 | https://github.com/GUO-W/MultiMotion | 42 | Multi-person extreme motion prediction | https://scholar.google.com/scholar?cluster=7534298147315314695&hl=en&as_sdt=0,23 | 2 | 2,022 |
The Devil Is in the Details: Window-Based Attention for Image Compression | 20 | cvpr | 14 | 6 | 2023-06-03 15:13:38.692000 | https://github.com/googolxx/stf | 104 | The devil is in the details: Window-based attention for image compression | https://scholar.google.com/scholar?cluster=10003124888209359259&hl=en&as_sdt=0,39 | 3 | 2,022 |
Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing | 35 | cvpr | 18 | 15 | 2023-06-03 15:13:38.887000 | https://github.com/wangzhuo2019/ssan | 72 | Domain generalization via shuffled style assembly for face anti-spoofing | https://scholar.google.com/scholar?cluster=8882924232040294084&hl=en&as_sdt=0,44 | 4 | 2,022 |
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network | 4 | cvpr | 2 | 0 | 2023-06-03 15:13:39.081000 | https://github.com/ByungKwanLee/Masking-Adversarial-Damage | 26 | Masking adversarial damage: Finding adversarial saliency for robust and sparse network | https://scholar.google.com/scholar?cluster=4791658078003923972&hl=en&as_sdt=0,33 | 2 | 2,022 |
OcclusionFusion: Occlusion-Aware Motion Estimation for Real-Time Dynamic 3D Reconstruction | 9 | cvpr | 32 | 11 | 2023-06-03 15:13:39.278000 | https://github.com/wenbin-lin/OcclusionFusion | 212 | Occlusionfusion: Occlusion-aware motion estimation for real-time dynamic 3d reconstruction | https://scholar.google.com/scholar?cluster=419253631126996395&hl=en&as_sdt=0,14 | 25 | 2,022 |
LARGE: Latent-Based Regression Through GAN Semantics | 13 | cvpr | 7 | 1 | 2023-06-03 15:13:39.472000 | https://github.com/YotamNitzan/LARGE | 85 | Large: Latent-based regression through gan semantics | https://scholar.google.com/scholar?cluster=18373168955695458400&hl=en&as_sdt=0,36 | 5 | 2,022 |
MonoScene: Monocular 3D Semantic Scene Completion | 22 | cvpr | 51 | 0 | 2023-06-03 15:13:39.666000 | https://github.com/cv-rits/MonoScene | 459 | Monoscene: Monocular 3d semantic scene completion | https://scholar.google.com/scholar?cluster=8463919163265806404&hl=en&as_sdt=0,5 | 13 | 2,022 |
Robust Fine-Tuning of Zero-Shot Models | 166 | cvpr | 35 | 2 | 2023-06-03 15:13:39.861000 | https://github.com/mlfoundations/wise-ft | 354 | Robust fine-tuning of zero-shot models | https://scholar.google.com/scholar?cluster=12206160479867816283&hl=en&as_sdt=0,19 | 6 | 2,022 |
Multi-Granularity Alignment Domain Adaptation for Object Detection | 15 | cvpr | 1 | 1 | 2023-06-03 15:13:40.056000 | https://github.com/tiankongzhang/mgada | 14 | Multi-granularity alignment domain adaptation for object detection | https://scholar.google.com/scholar?cluster=5313352548254916730&hl=en&as_sdt=0,5 | 1 | 2,022 |
Robust Federated Learning With Noisy and Heterogeneous Clients | 17 | cvpr | 6 | 0 | 2023-06-03 15:13:40.250000 | https://github.com/fangxiuwen/robust_fl | 24 | Robust federated learning with noisy and heterogeneous clients | https://scholar.google.com/scholar?cluster=14357965830847102739&hl=en&as_sdt=0,48 | 2 | 2,022 |
Human-Aware Object Placement for Visual Environment Reconstruction | 24 | cvpr | 3 | 1 | 2023-06-03 15:13:40.447000 | https://github.com/yhw-yhw/mover | 81 | Human-aware object placement for visual environment reconstruction | https://scholar.google.com/scholar?cluster=17322252721160434094&hl=en&as_sdt=0,33 | 1 | 2,022 |
Enabling Equivariance for Arbitrary Lie Groups | 8 | cvpr | 1 | 0 | 2023-06-03 15:13:40.641000 | https://github.com/lemacdonald/equivariant-convolutions | 9 | Enabling equivariance for arbitrary Lie groups | https://scholar.google.com/scholar?cluster=15697784797839012160&hl=en&as_sdt=0,5 | 1 | 2,022 |
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval | 32 | cvpr | 7 | 3 | 2023-06-03 15:13:40.835000 | https://github.com/layer6ai-labs/xpool | 70 | X-pool: Cross-modal language-video attention for text-video retrieval | https://scholar.google.com/scholar?cluster=710257116862551104&hl=en&as_sdt=0,34 | 7 | 2,022 |
Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors | 28 | cvpr | 13 | 8 | 2023-06-03 15:13:41.030000 | https://github.com/facebookresearch/unbiased-teacher-v2 | 80 | Unbiased teacher v2: Semi-supervised object detection for anchor-free and anchor-based detectors | https://scholar.google.com/scholar?cluster=15129909426072124916&hl=en&as_sdt=0,36 | 6 | 2,022 |
Spatio-Temporal Relation Modeling for Few-Shot Action Recognition | 26 | cvpr | 12 | 1 | 2023-06-03 15:13:41.224000 | https://github.com/Anirudh257/strm | 74 | Spatio-temporal relation modeling for few-shot action recognition | https://scholar.google.com/scholar?cluster=11681537223843253385&hl=en&as_sdt=0,5 | 3 | 2,022 |
Gated2Gated: Self-Supervised Depth Estimation From Gated Images | 2 | cvpr | 9 | 1 | 2023-06-03 15:13:41.418000 | https://github.com/princeton-computational-imaging/gated2gated | 28 | Gated2Gated: Self-Supervised Depth Estimation from Gated Images | https://scholar.google.com/scholar?cluster=2674295635751130518&hl=en&as_sdt=0,41 | 4 | 2,022 |
Vector Quantized Diffusion Model for Text-to-Image Synthesis | 180 | cvpr | 40 | 12 | 2023-06-03 15:13:41.613000 | https://github.com/cientgu/vq-diffusion | 328 | Vector quantized diffusion model for text-to-image synthesis | https://scholar.google.com/scholar?cluster=15334379520573776557&hl=en&as_sdt=0,33 | 7 | 2,022 |
Mask Transfiner for High-Quality Instance Segmentation | 31 | cvpr | 53 | 13 | 2023-06-03 15:13:41.807000 | https://github.com/SysCV/transfiner | 476 | Mask transfiner for high-quality instance segmentation | https://scholar.google.com/scholar?cluster=10396301663099841488&hl=en&as_sdt=0,34 | 11 | 2,022 |
Ranking-Based Siamese Visual Tracking | 13 | cvpr | 0 | 7 | 2023-06-03 15:13:42.001000 | https://github.com/sansanfree/rbo | 19 | Ranking-based Siamese visual tracking | https://scholar.google.com/scholar?cluster=8457311238070858364&hl=en&as_sdt=0,44 | 1 | 2,022 |
CMT: Convolutional Neural Networks Meet Vision Transformers | 245 | cvpr | 13 | 4 | 2023-06-03 15:13:42.196000 | https://github.com/ggjy/cmt.pytorch | 54 | Cmt: Convolutional neural networks meet vision transformers | https://scholar.google.com/scholar?cluster=18216985783540724512&hl=en&as_sdt=0,14 | 2 | 2,022 |
SEEG: Semantic Energized Co-Speech Gesture Generation | 19 | cvpr | 0 | 0 | 2023-06-03 15:13:42.390000 | https://github.com/akira-l/seeg | 25 | SEEG: Semantic energized Co-speech gesture generation | https://scholar.google.com/scholar?cluster=1159573125166509520&hl=en&as_sdt=0,33 | 3 | 2,022 |
Optimizing Elimination Templates by Greedy Parameter Search | 1 | cvpr | 0 | 0 | 2023-06-03 15:13:42.585000 | https://github.com/martyushev/eliminationtemplates | 4 | Optimizing Elimination Templates by Greedy Parameter Search | https://scholar.google.com/scholar?cluster=6836698749638815808&hl=en&as_sdt=0,5 | 5 | 2,022 |
Unsupervised Image-to-Image Translation With Generative Prior | 14 | cvpr | 14 | 2 | 2023-06-03 15:13:42.779000 | https://github.com/williamyang1991/gp-unit | 143 | Unsupervised image-to-image translation with generative prior | https://scholar.google.com/scholar?cluster=6364955953732635639&hl=en&as_sdt=0,31 | 5 | 2,022 |
Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects | 22 | cvpr | 8 | 0 | 2023-06-03 15:13:42.973000 | https://github.com/nvlabs/watch-it-move | 48 | Watch it move: Unsupervised discovery of 3D joints for re-posing of articulated objects | https://scholar.google.com/scholar?cluster=6834826585007350455&hl=en&as_sdt=0,5 | 14 | 2,022 |
TransMix: Attend To Mix for Vision Transformers | 35 | cvpr | 12 | 6 | 2023-06-03 15:13:43.168000 | https://github.com/beckschen/transmix | 136 | Transmix: Attend to mix for vision transformers | https://scholar.google.com/scholar?cluster=17300345725078470560&hl=en&as_sdt=0,5 | 11 | 2,022 |
Multi-Marginal Contrastive Learning for Multi-Label Subcellular Protein Localization | 2 | cvpr | 0 | 0 | 2023-06-03 15:13:43.362000 | https://github.com/zinibrc/deepsloc | 1 | Multi-marginal Contrastive Learning for Multi-label Subcellular Protein Localization | https://scholar.google.com/scholar?cluster=1035538080186509553&hl=en&as_sdt=0,5 | 1 | 2,022 |
Hyperspherical Consistency Regularization | 10 | cvpr | 1 | 0 | 2023-06-03 15:13:43.556000 | https://github.com/chengtan9907/Hyperspherical-Consistency-Regularization | 26 | Hyperspherical consistency regularization | https://scholar.google.com/scholar?cluster=10011600121781425421&hl=en&as_sdt=0,47 | 2 | 2,022 |
HOP: History-and-Order Aware Pre-Training for Vision-and-Language Navigation | 20 | cvpr | 0 | 4 | 2023-06-03 15:13:43.750000 | https://github.com/yanyuanqiao/hop-vln | 15 | Hop: history-and-order aware pre-training for vision-and-language navigation | https://scholar.google.com/scholar?cluster=8769821496264866268&hl=en&as_sdt=0,5 | 1 | 2,022 |
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model | 23 | cvpr | 3 | 0 | 2023-06-03 15:13:43.945000 | https://github.com/zipengxuc/ppe | 34 | Predict, prevent, and evaluate: Disentangled text-driven image manipulation empowered by pre-trained vision-language model | https://scholar.google.com/scholar?cluster=12976238228304314997&hl=en&as_sdt=0,33 | 3 | 2,022 |
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences | 12 | cvpr | 61 | 2 | 2023-06-03 15:13:44.139000 | https://github.com/PruneTruong/DenseMatching | 475 | Probabilistic warp consistency for weakly-supervised semantic correspondences | https://scholar.google.com/scholar?cluster=5100855601029952411&hl=en&as_sdt=0,33 | 18 | 2,022 |
Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework | 26 | cvpr | 2 | 0 | 2023-06-03 15:13:44.333000 | https://github.com/fundamentalvision/unigrad | 27 | Exploring the equivalence of siamese self-supervised learning via a unified gradient framework | https://scholar.google.com/scholar?cluster=7990281981134691027&hl=en&as_sdt=0,23 | 1 | 2,022 |
RU-Net: Regularized Unrolling Network for Scene Graph Generation | 13 | cvpr | 2 | 1 | 2023-06-03 15:13:44.531000 | https://github.com/siml3/ru-net | 7 | RU-Net: regularized unrolling network for scene graph generation | https://scholar.google.com/scholar?cluster=3765664053223640870&hl=en&as_sdt=0,1 | 1 | 2,022 |
Inertia-Guided Flow Completion and Style Fusion for Video Inpainting | 9 | cvpr | 1 | 1 | 2023-06-03 15:13:44.726000 | https://github.com/hitachinsk/isvi | 31 | Inertia-guided flow completion and style fusion for video inpainting | https://scholar.google.com/scholar?cluster=7789864855703926573&hl=en&as_sdt=0,33 | 6 | 2,022 |
Integrating Language Guidance Into Vision-Based Deep Metric Learning | 13 | cvpr | 3 | 1 | 2023-06-03 15:13:44.920000 | https://github.com/explainableml/languageguidance_for_dml | 35 | Integrating language guidance into vision-based deep metric learning | https://scholar.google.com/scholar?cluster=14061212376736812793&hl=en&as_sdt=0,5 | 6 | 2,022 |
Sound-Guided Semantic Image Manipulation | 24 | cvpr | 12 | 5 | 2023-06-03 15:13:45.115000 | https://github.com/kuai-lab/sound-guided-semantic-image-manipulation | 71 | Sound-guided semantic image manipulation | https://scholar.google.com/scholar?cluster=13467636942293565039&hl=en&as_sdt=0,5 | 3 | 2,022 |
Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment | 15 | cvpr | 3 | 0 | 2023-06-03 15:13:45.309000 | https://github.com/keke921/gclloss | 23 | Long-tailed visual recognition via gaussian clouded logit adjustment | https://scholar.google.com/scholar?cluster=14012492702147575648&hl=en&as_sdt=0,33 | 2 | 2,022 |
Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective | 10 | cvpr | 2 | 9 | 2023-06-03 15:13:45.504000 | https://github.com/jiaw-z/fcstereo | 43 | Revisiting domain generalized stereo matching networks from a feature consistency perspective | https://scholar.google.com/scholar?cluster=5902003836142023006&hl=en&as_sdt=0,5 | 1 | 2,022 |
PartGlot: Learning Shape Part Segmentation From Language Reference Games | 10 | cvpr | 3 | 2 | 2023-06-03 15:13:45.698000 | https://github.com/63days/PartGlot | 23 | Partglot: Learning shape part segmentation from language reference games | https://scholar.google.com/scholar?cluster=11569634995002123592&hl=en&as_sdt=0,33 | 3 | 2,022 |
Point Density-Aware Voxels for LiDAR 3D Object Detection | 48 | cvpr | 22 | 2 | 2023-06-03 15:13:45.892000 | https://github.com/trailab/pdv | 136 | Point density-aware voxels for lidar 3d object detection | https://scholar.google.com/scholar?cluster=8490405556180924949&hl=en&as_sdt=0,5 | 9 | 2,022 |
Compositional Temporal Grounding With Structured Variational Cross-Graph Correspondence Learning | 27 | cvpr | 1 | 6 | 2023-06-03 15:13:46.091000 | https://github.com/yyjmjc/compositional-temporal-grounding | 23 | Compositional temporal grounding with structured variational cross-graph correspondence learning | https://scholar.google.com/scholar?cluster=15824470747358710785&hl=en&as_sdt=0,33 | 1 | 2,022 |
A Simple Episodic Linear Probe Improves Visual Recognition in the Wild | 3 | cvpr | 5 | 0 | 2023-06-03 15:13:46.286000 | https://github.com/akira-l/ELP | 26 | A simple episodic linear probe improves visual recognition in the wild | https://scholar.google.com/scholar?cluster=11707850107783590325&hl=en&as_sdt=0,5 | 2 | 2,022 |
Self-Supervised Video Transformer | 35 | cvpr | 15 | 3 | 2023-06-03 15:13:46.481000 | https://github.com/kahnchana/svt | 83 | Self-supervised video transformer | https://scholar.google.com/scholar?cluster=11308628305789992240&hl=en&as_sdt=0,15 | 6 | 2,022 |
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization | 41 | cvpr | 37 | 5 | 2023-06-03 15:13:46.675000 | https://github.com/lukemelas/deep-spectral-segmentation | 203 | Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization | https://scholar.google.com/scholar?cluster=4695735279498312558&hl=en&as_sdt=0,23 | 8 | 2,022 |
Complex Backdoor Detection by Symmetric Feature Differencing | 10 | cvpr | 1 | 0 | 2023-06-03 15:13:46.869000 | https://github.com/purduepaml/exray | 8 | Complex backdoor detection by symmetric feature differencing | https://scholar.google.com/scholar?cluster=16516270233565857918&hl=en&as_sdt=0,5 | 1 | 2,022 |
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition | 21 | cvpr | 14 | 2 | 2023-06-03 15:13:47.063000 | https://github.com/leaplabthu/adafocusv2 | 82 | Adafocus v2: End-to-end training of spatial dynamic networks for video recognition | https://scholar.google.com/scholar?cluster=12844185460204493668&hl=en&as_sdt=0,34 | 2 | 2,022 |
Condensing CNNs With Partial Differential Equations | 2 | cvpr | 3 | 1 | 2023-06-03 15:13:47.258000 | https://github.com/anilkagak2/pde_globallayer | 8 | Condensing CNNs with Partial Differential Equations | https://scholar.google.com/scholar?cluster=17289837267069094376&hl=en&as_sdt=0,5 | 2 | 2,022 |
Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers | 14 | cvpr | 6 | 2 | 2023-06-03 15:13:47.452000 | https://github.com/twke18/hsg | 52 | Unsupervised hierarchical semantic segmentation with multiview cosegmentation and clustering transformers | https://scholar.google.com/scholar?cluster=8430936739774837199&hl=en&as_sdt=0,9 | 3 | 2,022 |
Localization Distillation for Dense Object Detection | 43 | cvpr | 50 | 31 | 2023-06-03 15:13:47.647000 | https://github.com/HikariTJU/LD | 310 | Localization distillation for dense object detection | https://scholar.google.com/scholar?cluster=10745444013023171384&hl=en&as_sdt=0,14 | 5 | 2,022 |
Proper Reuse of Image Classification Features Improves Object Detection | 9 | cvpr | 46,271 | 1,204 | 2023-06-03 15:13:47.840000 | https://github.com/tensorflow/models | 75,885 | Proper reuse of image classification features improves object detection | https://scholar.google.com/scholar?cluster=5807746291493976653&hl=en&as_sdt=0,5 | 2,774 | 2,022 |
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