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|---|---|---|---|---|---|---|---|---|---|---|---|
Toward Convolutional Blind Denoising of Real Photographs
| 793
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cvpr
| 94
| 30
|
2023-06-03 02:18:21.194000
|
https://github.com/GuoShi28/CBDNet
| 464
|
Toward convolutional blind denoising of real photographs
|
https://scholar.google.com/scholar?cluster=10808191985805196679&hl=en&as_sdt=0,19
| 13
| 2,019
|
Patch-Based Progressive 3D Point Set Upsampling
| 212
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cvpr
| 9
| 4
|
2023-06-03 02:18:21.393000
|
https://github.com/yifita/3PU_pytorch
| 72
|
Patch-based progressive 3d point set upsampling
|
https://scholar.google.com/scholar?cluster=4861900077338199153&hl=en&as_sdt=0,5
| 3
| 2,019
|
Beyond Gradient Descent for Regularized Segmentation Losses
| 28
|
cvpr
| 2
| 1
|
2023-06-03 02:18:21.594000
|
https://github.com/dmitrii-marin/adm-seg
| 11
|
Beyond gradient descent for regularized segmentation losses
|
https://scholar.google.com/scholar?cluster=2336732449299048628&hl=en&as_sdt=0,47
| 2
| 2,019
|
Towards Real Scene Super-Resolution With Raw Images
| 105
|
cvpr
| 5
| 2
|
2023-06-03 02:18:21.794000
|
https://github.com/xuxy09/RawSR
| 37
|
Towards real scene super-resolution with raw images
|
https://scholar.google.com/scholar?cluster=16601900080142594548&hl=en&as_sdt=0,48
| 5
| 2,019
|
MAGSAC: Marginalizing Sample Consensus
| 182
|
cvpr
| 51
| 14
|
2023-06-03 02:18:21.994000
|
https://github.com/danini/magsac
| 325
|
MAGSAC: marginalizing sample consensus
|
https://scholar.google.com/scholar?cluster=17569749096229295310&hl=en&as_sdt=0,5
| 20
| 2,019
|
Understanding and Visualizing Deep Visual Saliency Models
| 39
|
cvpr
| 1
| 0
|
2023-06-03 02:18:22.194000
|
https://github.com/SenHe/uavdvsm
| 14
|
Understanding and visualizing deep visual saliency models
|
https://scholar.google.com/scholar?cluster=6009796744507889522&hl=en&as_sdt=0,5
| 1
| 2,019
|
Unsupervised Domain-Specific Deblurring via Disentangled Representations
| 132
|
cvpr
| 29
| 12
|
2023-06-03 02:18:22.394000
|
https://github.com/ustclby/Unsupervised-Domain-Specific-Deblurring
| 102
|
Unsupervised domain-specific deblurring via disentangled representations
|
https://scholar.google.com/scholar?cluster=17376435678265014007&hl=en&as_sdt=0,10
| 4
| 2,019
|
Searching for a Robust Neural Architecture in Four GPU Hours
| 545
|
cvpr
| 279
| 13
|
2023-06-03 02:18:22.593000
|
https://github.com/D-X-Y/NAS-Projects
| 1,493
|
Searching for a robust neural architecture in four gpu hours
|
https://scholar.google.com/scholar?cluster=4879261064205398932&hl=en&as_sdt=0,14
| 46
| 2,019
|
Adaptively Connected Neural Networks
| 53
|
cvpr
| 29
| 3
|
2023-06-03 02:18:22.794000
|
https://github.com/wanggrun/Adaptively-Connected-Neural-Networks
| 143
|
Adaptively connected neural networks
|
https://scholar.google.com/scholar?cluster=17110143364820542317&hl=en&as_sdt=0,10
| 6
| 2,019
|
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
| 210
|
cvpr
| 31
| 5
|
2023-06-03 02:18:22.994000
|
https://github.com/ucbdrive/hd3
| 201
|
Hierarchical discrete distribution decomposition for match density estimation
|
https://scholar.google.com/scholar?cluster=8538662755168714441&hl=en&as_sdt=0,5
| 15
| 2,019
|
FOCNet: A Fractional Optimal Control Network for Image Denoising
| 105
|
cvpr
| 3
| 5
|
2023-06-03 02:18:23.194000
|
https://github.com/hsijiaxidian/FOCNet
| 24
|
Focnet: A fractional optimal control network for image denoising
|
https://scholar.google.com/scholar?cluster=14736089093178266892&hl=en&as_sdt=0,5
| 4
| 2,019
|
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
| 115
|
cvpr
| 9
| 4
|
2023-06-03 02:18:23.394000
|
https://github.com/ucbdrive/tafe-net
| 51
|
Tafe-net: Task-aware feature embeddings for low shot learning
|
https://scholar.google.com/scholar?cluster=6103977558582312967&hl=en&as_sdt=0,22
| 11
| 2,019
|
Multi-Source Weak Supervision for Saliency Detection
| 151
|
cvpr
| 11
| 4
|
2023-06-03 02:18:23.595000
|
https://github.com/zengxianyu/mws
| 53
|
Multi-source weak supervision for saliency detection
|
https://scholar.google.com/scholar?cluster=4072873847492058736&hl=en&as_sdt=0,36
| 3
| 2,019
|
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
| 199
|
cvpr
| 25
| 23
|
2023-06-03 02:18:23.795000
|
https://github.com/jiaxiaojunQAQ/Comdefend
| 102
|
Comdefend: An efficient image compression model to defend adversarial examples
|
https://scholar.google.com/scholar?cluster=4385418290985322655&hl=en&as_sdt=0,5
| 1
| 2,019
|
End-To-End Multi-Task Learning With Attention
| 686
|
cvpr
| 105
| 0
|
2023-06-03 02:18:23.995000
|
https://github.com/lorenmt/mtan
| 582
|
End-to-end multi-task learning with attention
|
https://scholar.google.com/scholar?cluster=13455553033244468283&hl=en&as_sdt=0,22
| 10
| 2,019
|
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids
| 132
|
cvpr
| 27
| 6
|
2023-06-03 02:18:24.196000
|
https://github.com/paschalidoud/superquadric_parsing
| 103
|
Superquadrics revisited: Learning 3d shape parsing beyond cuboids
|
https://scholar.google.com/scholar?cluster=16382881621569269566&hl=en&as_sdt=0,5
| 7
| 2,019
|
Self-Supervised Learning via Conditional Motion Propagation
| 38
|
cvpr
| 19
| 3
|
2023-06-03 02:18:24.396000
|
https://github.com/XiaohangZhan/conditional-motion-propagation
| 129
|
Self-supervised learning via conditional motion propagation
|
https://scholar.google.com/scholar?cluster=18041914909773758029&hl=en&as_sdt=0,44
| 9
| 2,019
|
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
| 73
|
cvpr
| 21
| 7
|
2023-06-03 02:18:24.596000
|
https://github.com/lelimite4444/BridgeDepthFlow
| 116
|
Bridging stereo matching and optical flow via spatiotemporal correspondence
|
https://scholar.google.com/scholar?cluster=16596578988150565557&hl=en&as_sdt=0,5
| 6
| 2,019
|
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation
| 220
|
cvpr
| 24
| 4
|
2023-06-03 02:18:24.796000
|
https://github.com/a514514772/DISE-Domain-Invariant-Structure-Extraction
| 140
|
All about structure: Adapting structural information across domains for boosting semantic segmentation
|
https://scholar.google.com/scholar?cluster=10808988174565164614&hl=en&as_sdt=0,38
| 4
| 2,019
|
Deep Surface Normal Estimation With Hierarchical RGB-D Fusion
| 49
|
cvpr
| 12
| 2
|
2023-06-03 02:18:24.997000
|
https://github.com/jzengust/RGBD2Normal
| 64
|
Deep surface normal estimation with hierarchical RGB-D fusion
|
https://scholar.google.com/scholar?cluster=3067890846890303637&hl=en&as_sdt=0,5
| 1
| 2,019
|
Revisiting Self-Supervised Visual Representation Learning
| 689
|
cvpr
| 41
| 1
|
2023-06-03 02:18:25.199000
|
https://github.com/google/revisiting-self-supervised
| 349
|
Revisiting self-supervised visual representation learning
|
https://scholar.google.com/scholar?cluster=10439362362794734109&hl=en&as_sdt=0,4
| 21
| 2,019
|
Knowledge-Embedded Routing Network for Scene Graph Generation
| 301
|
cvpr
| 36
| 7
|
2023-06-03 02:18:25.399000
|
https://github.com/yuweihao/KERN
| 112
|
Knowledge-embedded routing network for scene graph generation
|
https://scholar.google.com/scholar?cluster=2500759860994948425&hl=en&as_sdt=0,15
| 8
| 2,019
|
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph
| 91
|
cvpr
| 26
| 1
|
2023-06-03 02:18:25.599000
|
https://github.com/yaohungt/GSTEG_CVPR_2019
| 150
|
Video relationship reasoning using gated spatio-temporal energy graph
|
https://scholar.google.com/scholar?cluster=4319729862936279404&hl=en&as_sdt=0,5
| 5
| 2,019
|
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
| 11
|
cvpr
| 2
| 0
|
2023-06-03 02:18:25.800000
|
https://github.com/jspenmar/SAND_features
| 31
|
Scale-adaptive neural dense features: Learning via hierarchical context aggregation
|
https://scholar.google.com/scholar?cluster=5547049271392391186&hl=en&as_sdt=0,22
| 3
| 2,019
|
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
| 429
|
cvpr
| 40
| 2
|
2023-06-03 02:18:25.999000
|
https://github.com/mangye16/Unsupervised_Embedding_Learning
| 190
|
Unsupervised embedding learning via invariant and spreading instance feature
|
https://scholar.google.com/scholar?cluster=1072488172525419971&hl=en&as_sdt=0,37
| 7
| 2,019
|
AOGNets: Compositional Grammatical Architectures for Deep Learning
| 20
|
cvpr
| 13
| 2
|
2023-06-03 02:18:26.200000
|
https://github.com/iVMCL/AOGNets
| 63
|
Aognets: Compositional grammatical architectures for deep learning
|
https://scholar.google.com/scholar?cluster=15106712660226432053&hl=en&as_sdt=0,41
| 5
| 2,019
|
MUREL: Multimodal Relational Reasoning for Visual Question Answering
| 277
|
cvpr
| 25
| 17
|
2023-06-03 02:18:26.400000
|
https://github.com/Cadene/murel.bootstrap.pytorch
| 187
|
Murel: Multimodal relational reasoning for visual question answering
|
https://scholar.google.com/scholar?cluster=1186094337208548043&hl=en&as_sdt=0,36
| 11
| 2,019
|
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
| 205
|
cvpr
| 14
| 5
|
2023-06-03 02:18:26.600000
|
https://github.com/fanchenyou/HME-VideoQA
| 53
|
Heterogeneous memory enhanced multimodal attention model for video question answering
|
https://scholar.google.com/scholar?cluster=7770828835187830172&hl=en&as_sdt=0,38
| 6
| 2,019
|
Answer Them All! Toward Universal Visual Question Answering Models
| 79
|
cvpr
| 6
| 1
|
2023-06-03 02:18:26.799000
|
https://github.com/erobic/ramen
| 16
|
Answer them all! toward universal visual question answering models
|
https://scholar.google.com/scholar?cluster=6525039695803054929&hl=en&as_sdt=0,14
| 5
| 2,019
|
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
| 78
|
cvpr
| 13
| 16
|
2023-06-03 02:18:26.999000
|
https://github.com/Dong-JinKim/DenseRelationalCaptioning
| 66
|
Dense relational captioning: Triple-stream networks for relationship-based captioning
|
https://scholar.google.com/scholar?cluster=8776743934311277227&hl=en&as_sdt=0,39
| 3
| 2,019
|
Factor Graph Attention
| 101
|
cvpr
| 4
| 0
|
2023-06-03 02:18:27.199000
|
https://github.com/idansc/fga
| 28
|
Factor graph attention
|
https://scholar.google.com/scholar?cluster=2910740179552415672&hl=en&as_sdt=0,33
| 4
| 2,019
|
Deep Modular Co-Attention Networks for Visual Question Answering
| 623
|
cvpr
| 86
| 2
|
2023-06-03 02:18:27.399000
|
https://github.com/MILVLG/mcan-vqa
| 392
|
Deep modular co-attention networks for visual question answering
|
https://scholar.google.com/scholar?cluster=11029813876310873400&hl=en&as_sdt=0,31
| 6
| 2,019
|
Complete the Look: Scene-Based Complementary Product Recommendation
| 67
|
cvpr
| 14
| 3
|
2023-06-03 02:18:27.599000
|
https://github.com/kang205/STL-Dataset
| 52
|
Complete the look: Scene-based complementary product recommendation
|
https://scholar.google.com/scholar?cluster=590701942495364123&hl=en&as_sdt=0,14
| 8
| 2,019
|
Multi-Target Embodied Question Answering
| 70
|
cvpr
| 64
| 17
|
2023-06-03 02:18:27.799000
|
https://github.com/facebookresearch/EmbodiedQA
| 271
|
Multi-target embodied question answering
|
https://scholar.google.com/scholar?cluster=15952250835614561913&hl=en&as_sdt=0,10
| 21
| 2,019
|
StoryGAN: A Sequential Conditional GAN for Story Visualization
| 136
|
cvpr
| 58
| 23
|
2023-06-03 02:18:27.999000
|
https://github.com/yitong91/StoryGAN
| 229
|
Storygan: A sequential conditional gan for story visualization
|
https://scholar.google.com/scholar?cluster=9067526876528752401&hl=en&as_sdt=0,44
| 18
| 2,019
|
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
| 56
|
cvpr
| 1
| 3
|
2023-06-03 02:18:28.200000
|
https://github.com/XuelianCheng/LidarStereoNet
| 45
|
Noise-aware unsupervised deep lidar-stereo fusion
|
https://scholar.google.com/scholar?cluster=4886019654152519526&hl=en&as_sdt=0,5
| 7
| 2,019
|
Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model
| 156
|
cvpr
| 11
| 14
|
2023-06-03 02:18:28.400000
|
https://github.com/smilell/AG-CNN
| 62
|
Attention based glaucoma detection: a large-scale database and CNN model
|
https://scholar.google.com/scholar?cluster=10478894233333708958&hl=en&as_sdt=0,5
| 4
| 2,019
|
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images
| 154
|
cvpr
| 22
| 10
|
2023-06-03 02:18:28.600000
|
https://github.com/MeioJane/SIXray
| 102
|
Sixray: A large-scale security inspection x-ray benchmark for prohibited item discovery in overlapping images
|
https://scholar.google.com/scholar?cluster=987808359488933242&hl=en&as_sdt=0,33
| 5
| 2,019
|
Modularized Textual Grounding for Counterfactual Resilience
| 29
|
cvpr
| 0
| 1
|
2023-06-03 02:18:28.800000
|
https://github.com/jacobswan1/MTG-pytorch
| 11
|
Modularized textual grounding for counterfactual resilience
|
https://scholar.google.com/scholar?cluster=10665938420960804361&hl=en&as_sdt=0,44
| 3
| 2,019
|
Connecting Touch and Vision via Cross-Modal Prediction
| 80
|
cvpr
| 13
| 1
|
2023-06-03 02:18:29
|
https://github.com/YunzhuLi/VisGel
| 57
|
Connecting touch and vision via cross-modal prediction
|
https://scholar.google.com/scholar?cluster=17326564895972374001&hl=en&as_sdt=0,5
| 3
| 2,019
|
Unsupervised Person Re-Identification by Soft Multilabel Learning
| 385
|
cvpr
| 81
| 5
|
2023-06-03 02:18:29.200000
|
https://github.com/KovenYu/MAR
| 310
|
Unsupervised person re-identification by soft multilabel learning
|
https://scholar.google.com/scholar?cluster=2081679959675411798&hl=en&as_sdt=0,39
| 10
| 2,019
|
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks
| 118
|
cvpr
| 37
| 17
|
2023-06-03 02:18:29.401000
|
https://github.com/kylekma/X2CT
| 98
|
X2CT-GAN: reconstructing CT from biplanar X-rays with generative adversarial networks
|
https://scholar.google.com/scholar?cluster=8622362370215216578&hl=en&as_sdt=0,5
| 7
| 2,019
|
Panoptic Feature Pyramid Networks
| 928
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cvpr
| 6,780
| 383
|
2023-06-03 02:18:29.601000
|
https://github.com/facebookresearch/detectron2
| 25,048
|
Panoptic feature pyramid networks
|
https://scholar.google.com/scholar?cluster=4764353839421452842&hl=en&as_sdt=0,33
| 368
| 2,019
|
Practical Full Resolution Learned Lossless Image Compression
| 163
|
cvpr
| 57
| 12
|
2023-06-03 02:18:29.801000
|
https://github.com/fab-jul/L3C-PyTorch
| 366
|
Practical full resolution learned lossless image compression
|
https://scholar.google.com/scholar?cluster=6227324072432517519&hl=en&as_sdt=0,33
| 9
| 2,019
|
Mask Scoring R-CNN
| 840
|
cvpr
| 388
| 68
|
2023-06-03 02:18:30.001000
|
https://github.com/zjhuang22/maskscoring_rcnn
| 1,877
|
Mask scoring r-cnn
|
https://scholar.google.com/scholar?cluster=4161750651251815162&hl=en&as_sdt=0,5
| 43
| 2,019
|
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation
| 114
|
cvpr
| 11
| 6
|
2023-06-03 02:18:30.202000
|
https://github.com/WonwoongCho/GDWCT
| 138
|
Image-to-image translation via group-wise deep whitening-and-coloring transformation
|
https://scholar.google.com/scholar?cluster=5074418672366588381&hl=en&as_sdt=0,33
| 8
| 2,019
|
Zero-Shot Task Transfer
| 35
|
cvpr
| 1
| 0
|
2023-06-03 02:18:30.403000
|
https://github.com/ArghyaPal/Zero-shot-task-transfer
| 7
|
Zero-shot task transfer
|
https://scholar.google.com/scholar?cluster=9450511399353552575&hl=en&as_sdt=0,33
| 3
| 2,019
|
Meta-Learning With Differentiable Convex Optimization
| 1,080
|
cvpr
| 94
| 11
|
2023-06-03 02:18:30.604000
|
https://github.com/kjunelee/MetaOptNet
| 496
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Meta-learning with differentiable convex optimization
|
https://scholar.google.com/scholar?cluster=17021041287722537056&hl=en&as_sdt=0,38
| 9
| 2,019
|
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
| 205
|
cvpr
| 15
| 5
|
2023-06-03 02:18:30.804000
|
https://github.com/Winfrand/C-MIL
| 62
|
C-mil: Continuation multiple instance learning for weakly supervised object detection
|
https://scholar.google.com/scholar?cluster=627329786836963865&hl=en&as_sdt=0,38
| 3
| 2,019
|
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning
| 30
|
cvpr
| 0
| 0
|
2023-06-03 02:18:31.004000
|
https://github.com/uuujf/TNAR
| 7
|
Tangent-normal adversarial regularization for semi-supervised learning
|
https://scholar.google.com/scholar?cluster=9145773952325087137&hl=en&as_sdt=0,33
| 2
| 2,019
|
Auto-Encoding Scene Graphs for Image Captioning
| 613
|
cvpr
| 50
| 36
|
2023-06-03 02:18:31.203000
|
https://github.com/yangxuntu/SGAE
| 205
|
Auto-encoding scene graphs for image captioning
|
https://scholar.google.com/scholar?cluster=8920795868500143528&hl=en&as_sdt=0,33
| 4
| 2,019
|
Locating Objects Without Bounding Boxes
| 87
|
cvpr
| 50
| 22
|
2023-06-03 02:18:31.403000
|
https://github.com/javiribera/locating-objects-without-bboxes
| 237
|
Locating objects without bounding boxes
|
https://scholar.google.com/scholar?cluster=11365548428780437537&hl=en&as_sdt=0,10
| 11
| 2,019
|
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
| 409
|
cvpr
| 57
| 5
|
2023-06-03 02:18:31.604000
|
https://github.com/machine-perception-robotics-group/attention_branch_network
| 251
|
Attention branch network: Learning of attention mechanism for visual explanation
|
https://scholar.google.com/scholar?cluster=9517594115832739918&hl=en&as_sdt=0,11
| 16
| 2,019
|
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
| 126
|
cvpr
| 42
| 6
|
2023-06-03 02:18:31.804000
|
https://github.com/kkanshul/finegan
| 274
|
Finegan: Unsupervised hierarchical disentanglement for fine-grained object generation and discovery
|
https://scholar.google.com/scholar?cluster=3504805931057936629&hl=en&as_sdt=0,33
| 15
| 2,019
|
ELASTIC: Improving CNNs With Dynamic Scaling Policies
| 61
|
cvpr
| 10
| 1
|
2023-06-03 02:18:32.004000
|
https://github.com/allenai/elastic
| 90
|
Elastic: Improving cnns with dynamic scaling policies
|
https://scholar.google.com/scholar?cluster=3620870050981559433&hl=en&as_sdt=0,44
| 118
| 2,019
|
DeepCaps: Going Deeper With Capsule Networks
| 216
|
cvpr
| 48
| 5
|
2023-06-03 02:18:32.204000
|
https://github.com/brjathu/deepcaps
| 143
|
Deepcaps: Going deeper with capsule networks
|
https://scholar.google.com/scholar?cluster=16889828886556749914&hl=en&as_sdt=0,22
| 7
| 2,019
|
ScratchDet: Training Single-Shot Object Detectors From Scratch
| 151
|
cvpr
| 38
| 14
|
2023-06-03 02:18:32.413000
|
https://github.com/KimSoybean/ScratchDet
| 229
|
ScratchDet: Training single-shot object detectors from scratch
|
https://scholar.google.com/scholar?cluster=14320721725653826711&hl=en&as_sdt=0,36
| 26
| 2,019
|
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
| 1,187
|
cvpr
| 142
| 20
|
2023-06-03 02:18:32.613000
|
https://github.com/facebookresearch/mobile-vision
| 851
|
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search
|
https://scholar.google.com/scholar?cluster=524206379279542606&hl=en&as_sdt=0,33
| 46
| 2,019
|
Curls & Whey: Boosting Black-Box Adversarial Attacks
| 115
|
cvpr
| 21
| 3
|
2023-06-03 02:18:32.813000
|
https://github.com/walegahaha/Curls-Whey
| 59
|
Curls & whey: Boosting black-box adversarial attacks
|
https://scholar.google.com/scholar?cluster=6887259885026760388&hl=en&as_sdt=0,5
| 4
| 2,019
|
Aggregation Cross-Entropy for Sequence Recognition
| 94
|
cvpr
| 64
| 19
|
2023-06-03 02:18:33.026000
|
https://github.com/summerlvsong/Aggregation-Cross-Entropy
| 295
|
Aggregation cross-entropy for sequence recognition
|
https://scholar.google.com/scholar?cluster=15608585135826790706&hl=en&as_sdt=0,44
| 18
| 2,019
|
WarpGAN: Automatic Caricature Generation
| 69
|
cvpr
| 61
| 4
|
2023-06-03 02:18:33.236000
|
https://github.com/seasonSH/WarpGAN
| 253
|
Warpgan: Automatic caricature generation
|
https://scholar.google.com/scholar?cluster=3752178522291653390&hl=en&as_sdt=0,10
| 8
| 2,019
|
Few-Shot Learning With Localization in Realistic Settings
| 119
|
cvpr
| 17
| 0
|
2023-06-03 02:18:33.437000
|
https://github.com/daviswer/fewshotlocal
| 46
|
Few-shot learning with localization in realistic settings
|
https://scholar.google.com/scholar?cluster=4508829922363730236&hl=en&as_sdt=0,5
| 4
| 2,019
|
Semantic Image Synthesis With Spatially-Adaptive Normalization
| 2,195
|
cvpr
| 991
| 99
|
2023-06-03 02:18:33.636000
|
https://github.com/NVlabs/SPADE
| 7,373
|
Semantic image synthesis with spatially-adaptive normalization
|
https://scholar.google.com/scholar?cluster=12479535951654162053&hl=en&as_sdt=0,34
| 284
| 2,019
|
Progressive Pose Attention Transfer for Person Image Generation
| 285
|
cvpr
| 164
| 40
|
2023-06-03 02:18:33.836000
|
https://github.com/tengteng95/Pose-Transfer
| 698
|
Progressive pose attention transfer for person image generation
|
https://scholar.google.com/scholar?cluster=8533086213886595616&hl=en&as_sdt=0,33
| 24
| 2,019
|
Unsupervised Person Image Generation With Semantic Parsing Transformation
| 117
|
cvpr
| 23
| 7
|
2023-06-03 02:18:34.037000
|
https://github.com/SijieSong/person_generation_spt
| 109
|
Unsupervised person image generation with semantic parsing transformation
|
https://scholar.google.com/scholar?cluster=4604069298545419754&hl=en&as_sdt=0,33
| 11
| 2,019
|
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations
| 124
|
cvpr
| 47
| 9
|
2023-06-03 02:18:34.255000
|
https://github.com/vacancy/SceneGraphParser
| 402
|
Unified visual-semantic embeddings: Bridging vision and language with structured meaning representations
|
https://scholar.google.com/scholar?cluster=1466334913806805421&hl=en&as_sdt=0,3
| 6
| 2,019
|
Animating Arbitrary Objects via Deep Motion Transfer
| 252
|
cvpr
| 81
| 21
|
2023-06-03 02:18:34.455000
|
https://github.com/AliaksandrSiarohin/monkey-net
| 426
|
Animating arbitrary objects via deep motion transfer
|
https://scholar.google.com/scholar?cluster=17230951107215753208&hl=en&as_sdt=0,33
| 15
| 2,019
|
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction
| 67
|
cvpr
| 8
| 1
|
2023-06-03 02:18:34.655000
|
https://github.com/CMU-Perceptual-Computing-Lab/ssp
| 28
|
Towards social artificial intelligence: Nonverbal social signal prediction in a triadic interaction
|
https://scholar.google.com/scholar?cluster=12550284678910113227&hl=en&as_sdt=0,5
| 6
| 2,019
|
Reasoning Visual Dialogs With Structural and Partial Observations
| 100
|
cvpr
| 7
| 1
|
2023-06-03 02:18:34.856000
|
https://github.com/zilongzheng/visdial-gnn
| 41
|
Reasoning visual dialogs with structural and partial observations
|
https://scholar.google.com/scholar?cluster=6813756487317255348&hl=en&as_sdt=0,23
| 4
| 2,019
|
Recursive Visual Attention in Visual Dialog
| 107
|
cvpr
| 12
| 4
|
2023-06-03 02:18:35.056000
|
https://github.com/yuleiniu/rva
| 64
|
Recursive visual attention in visual dialog
|
https://scholar.google.com/scholar?cluster=498788163580831631&hl=en&as_sdt=0,5
| 2
| 2,019
|
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
| 767
|
cvpr
| 125
| 15
|
2023-06-03 02:18:35.257000
|
https://github.com/stanfordnlp/mac-network
| 483
|
Gqa: A new dataset for real-world visual reasoning and compositional question answering
|
https://scholar.google.com/scholar?cluster=266091827435565866&hl=en&as_sdt=0,44
| 32
| 2,019
|
Self-Supervised Representation Learning From Videos for Facial Action Unit Detection
| 85
|
cvpr
| 28
| 8
|
2023-06-03 02:18:35.457000
|
https://github.com/mysee1989/TCAE
| 149
|
Self-supervised representation learning from videos for facial action unit detection
|
https://scholar.google.com/scholar?cluster=14803969931076095921&hl=en&as_sdt=0,33
| 6
| 2,019
|
Label-Noise Robust Generative Adversarial Networks
| 62
|
cvpr
| 12
| 1
|
2023-06-03 02:18:35.656000
|
https://github.com/takuhirok/rGAN
| 94
|
Label-noise robust generative adversarial networks
|
https://scholar.google.com/scholar?cluster=832067215173341045&hl=en&as_sdt=0,5
| 3
| 2,019
|
Text2Scene: Generating Compositional Scenes From Textual Descriptions
| 71
|
cvpr
| 26
| 3
|
2023-06-03 02:18:35.856000
|
https://github.com/uvavision/Text2Scene
| 109
|
Text2scene: Generating compositional scenes from textual descriptions
|
https://scholar.google.com/scholar?cluster=14695771730532263499&hl=en&as_sdt=0,39
| 9
| 2,019
|
DLOW: Domain Flow for Adaptation and Generalization
| 285
|
cvpr
| 8
| 1
|
2023-06-03 02:18:36.058000
|
https://github.com/ETHRuiGong/DLOW
| 65
|
Dlow: Domain flow for adaptation and generalization
|
https://scholar.google.com/scholar?cluster=7502453122978248132&hl=en&as_sdt=0,34
| 10
| 2,019
|
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation
| 157
|
cvpr
| 24
| 15
|
2023-06-03 02:18:36.258000
|
https://github.com/chihyaoma/regretful-agent
| 123
|
The regretful agent: Heuristic-aided navigation through progress estimation
|
https://scholar.google.com/scholar?cluster=17362239336630276321&hl=en&as_sdt=0,5
| 3
| 2,019
|
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation
| 138
|
cvpr
| 10
| 2
|
2023-06-03 02:18:36.458000
|
https://github.com/Kelym/FAST
| 58
|
Tactical rewind: Self-correction via backtracking in vision-and-language navigation
|
https://scholar.google.com/scholar?cluster=12923057112531290596&hl=en&as_sdt=0,39
| 5
| 2,019
|
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
| 597
|
cvpr
| 48
| 1
|
2023-06-03 02:18:36.657000
|
https://github.com/RoyalVane/CLAN
| 281
|
Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation
|
https://scholar.google.com/scholar?cluster=12296797088344323285&hl=en&as_sdt=0,5
| 12
| 2,019
|
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
| 171
|
cvpr
| 54
| 19
|
2023-06-03 02:18:36.857000
|
https://github.com/allenai/savn
| 176
|
Learning to learn how to learn: Self-adaptive visual navigation using meta-learning
|
https://scholar.google.com/scholar?cluster=15373556339863734503&hl=en&as_sdt=0,39
| 13
| 2,019
|
Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
| 826
|
cvpr
| 304
| 60
|
2023-06-03 02:18:37.058000
|
https://github.com/vchoutas/smplify-x
| 1,376
|
Expressive body capture: 3d hands, face, and body from a single image
|
https://scholar.google.com/scholar?cluster=18089618953278262954&hl=en&as_sdt=0,43
| 62
| 2,019
|
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
| 943
|
cvpr
| 76
| 14
|
2023-06-03 02:18:37.258000
|
https://github.com/valeoai/ADVENT
| 349
|
Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation
|
https://scholar.google.com/scholar?cluster=4799517383796609013&hl=en&as_sdt=0,10
| 11
| 2,019
|
ContextDesc: Local Descriptor Augmentation With Cross-Modality Context
| 198
|
cvpr
| 35
| 11
|
2023-06-03 02:18:37.458000
|
https://github.com/lzx551402/contextdesc
| 221
|
Contextdesc: Local descriptor augmentation with cross-modality context
|
https://scholar.google.com/scholar?cluster=2024070806793077537&hl=en&as_sdt=0,5
| 18
| 2,019
|
Acoustic Non-Line-Of-Sight Imaging
| 94
|
cvpr
| 20
| 2
|
2023-06-03 02:18:37.658000
|
https://github.com/computational-imaging/AcousticNLOS
| 51
|
Acoustic non-line-of-sight imaging
|
https://scholar.google.com/scholar?cluster=12363469736987930524&hl=en&as_sdt=0,23
| 9
| 2,019
|
DVC: An End-To-End Deep Video Compression Framework
| 405
|
cvpr
| 71
| 0
|
2023-06-03 02:18:37.859000
|
https://github.com/GuoLusjtu/DVC
| 347
|
Dvc: An end-to-end deep video compression framework
|
https://scholar.google.com/scholar?cluster=14025636173094719670&hl=en&as_sdt=0,5
| 13
| 2,019
|
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data
| 201
|
cvpr
| 28
| 6
|
2023-06-03 02:18:38.058000
|
https://github.com/maple-research-lab/AET
| 105
|
Aet vs. aed: Unsupervised representation learning by auto-encoding transformations rather than data
|
https://scholar.google.com/scholar?cluster=4610038868574024475&hl=en&as_sdt=0,34
| 9
| 2,019
|
End-To-End Projector Photometric Compensation
| 24
|
cvpr
| 18
| 2
|
2023-06-03 02:18:38.258000
|
https://github.com/BingyaoHuang/CompenNet
| 36
|
End-to-end projector photometric compensation
|
https://scholar.google.com/scholar?cluster=11667961356677288620&hl=en&as_sdt=0,22
| 6
| 2,019
|
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
| 75
|
cvpr
| 4
| 1
|
2023-06-03 02:18:38.458000
|
https://github.com/human-analysis/MaxEnt-ARL
| 25
|
Mitigating information leakage in image representations: A maximum entropy approach
|
https://scholar.google.com/scholar?cluster=9808367443005287731&hl=en&as_sdt=0,31
| 5
| 2,019
|
Bringing Alive Blurred Moments
| 69
|
cvpr
| 3
| 2
|
2023-06-03 02:18:38.657000
|
https://github.com/anshulbshah/Blurred-Image-to-Video
| 15
|
Bringing alive blurred moments
|
https://scholar.google.com/scholar?cluster=11054301810786965041&hl=en&as_sdt=0,23
| 6
| 2,019
|
Underexposed Photo Enhancement Using Deep Illumination Estimation
| 574
|
cvpr
| 97
| 36
|
2023-06-03 02:18:38.858000
|
https://github.com/wangruixing/DeepUPE
| 523
|
Underexposed photo enhancement using deep illumination estimation
|
https://scholar.google.com/scholar?cluster=13016623403221821571&hl=en&as_sdt=0,10
| 24
| 2,019
|
Blind Visual Motif Removal From a Single Image
| 18
|
cvpr
| 11
| 6
|
2023-06-03 02:18:39.057000
|
https://github.com/amirhertz/visual_motif_removal
| 36
|
Blind visual motif removal from a single image
|
https://scholar.google.com/scholar?cluster=8406837963286920455&hl=en&as_sdt=0,43
| 1
| 2,019
|
Path-Invariant Map Networks
| 17
|
cvpr
| 8
| 0
|
2023-06-03 02:18:39.257000
|
https://github.com/zaiweizhang/path_invariance_map_network
| 81
|
Path-invariant map networks
|
https://scholar.google.com/scholar?cluster=9505386108948456577&hl=en&as_sdt=0,5
| 3
| 2,019
|
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
| 107
|
cvpr
| 14
| 0
|
2023-06-03 02:18:39.458000
|
https://github.com/quanmingyao/NGMeet
| 28
|
Non-local meets global: An integrated paradigm for hyperspectral denoising
|
https://scholar.google.com/scholar?cluster=14516251846200014876&hl=en&as_sdt=0,5
| 3
| 2,019
|
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
| 459
|
cvpr
| 68
| 23
|
2023-06-03 02:18:39.658000
|
https://github.com/hughw19/NOCS_CVPR2019
| 367
|
Normalized object coordinate space for category-level 6d object pose and size estimation
|
https://scholar.google.com/scholar?cluster=18202882499219400168&hl=en&as_sdt=0,32
| 15
| 2,019
|
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm
| 18
|
cvpr
| 23
| 9
|
2023-06-03 02:18:39.858000
|
https://github.com/LPMP/LPMP
| 63
|
MAP inference via block-coordinate Frank-Wolfe algorithm
|
https://scholar.google.com/scholar?cluster=8115651436723804587&hl=en&as_sdt=0,5
| 6
| 2,019
|
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
| 540
|
cvpr
| 31
| 22
|
2023-06-03 02:18:40.058000
|
https://github.com/liyunsheng13/BDL
| 220
|
Bidirectional learning for domain adaptation of semantic segmentation
|
https://scholar.google.com/scholar?cluster=8308872950577213620&hl=en&as_sdt=0,34
| 11
| 2,019
|
Pixel-Adaptive Convolutional Neural Networks
| 235
|
cvpr
| 83
| 18
|
2023-06-03 02:18:40.258000
|
https://github.com/NVlabs/pacnet
| 491
|
Pixel-adaptive convolutional neural networks
|
https://scholar.google.com/scholar?cluster=16269301846334705331&hl=en&as_sdt=0,5
| 25
| 2,019
|
Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset
| 83
|
cvpr
| 15
| 0
|
2023-06-03 02:18:40.458000
|
https://github.com/MrtnMndt/meta-learning-CODEBRIM
| 52
|
Meta-learning convolutional neural architectures for multi-target concrete defect classification with the concrete defect bridge image dataset
|
https://scholar.google.com/scholar?cluster=3021254096612461995&hl=en&as_sdt=0,31
| 5
| 2,019
|
Improving Transferability of Adversarial Examples With Input Diversity
| 720
|
cvpr
| 38
| 1
|
2023-06-03 02:18:40.659000
|
https://github.com/cihangxie/DI-2-FGSM
| 156
|
Improving transferability of adversarial examples with input diversity
|
https://scholar.google.com/scholar?cluster=13496165357897467185&hl=en&as_sdt=0,5
| 8
| 2,019
|
Disentangling Adversarial Robustness and Generalization
| 218
|
cvpr
| 2
| 0
|
2023-06-03 02:18:40.864000
|
https://github.com/davidstutz/cvpr2019-adversarial-robustness
| 13
|
Disentangling adversarial robustness and generalization
|
https://scholar.google.com/scholar?cluster=6632921217714390019&hl=en&as_sdt=0,36
| 4
| 2,019
|
Deeply-Supervised Knowledge Synergy
| 51
|
cvpr
| 8
| 2
|
2023-06-03 02:18:41.063000
|
https://github.com/sundw2014/DKS
| 61
|
Deeply-supervised knowledge synergy
|
https://scholar.google.com/scholar?cluster=191697563235867163&hl=en&as_sdt=0,5
| 4
| 2,019
|
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