WACV 2023

639 papers

Audio-Visual Face Reenactment

Madhav Agarwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar

Kinematic-Aware Hierarchical Attention Network for Human Pose Estimation in Videos

Kyung-Min Jin, Byoung-Sung Lim, Gun-Hee Lee, Tae-Kyung Kang, Seong-Whan Lee

Efficient Visual Tracking With Exemplar Transformers

Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool

Li3DeTr: A LiDAR Based 3D Detection Transformer

Gopi Krishna Erabati, Helder Araujo

FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation

Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran

Probabilistic Integration of Object Level Annotations in Chest X-Ray Classification

Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring

Single Image Super-Resolution via a Dual Interactive Implicit Neural Network

Quan H. Nguyen, William J. Beksi

Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching

Frank Yu, Sid Fels, Helge Rhodin

Difficulty-Net: Learning To Predict Difficulty for Long-Tailed Recognition

Saptarshi Sinha, Hiroki Ohashi

My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization

Umur A. Çiftçi, Gokturk Yuksek, Ilke Demir

Spike-Based Anytime Perception

Matthew Dutson, Yin Li, Mohit Gupta

Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning

So Hasegawa, Masayuki Hiromoto, Akira Nakagawa, Yuhei Umeda

3D GAN Inversion With Pose Optimization

Jaehoon Ko, Kyusun Cho, Daewon Choi, Kwangrok Ryoo, Seungryong Kim

360MVSNet: Deep Multi-View Stereo Network With 360deg Images for Indoor Scene Reconstruction

Ching-Ya Chiu, Yu-Ting Wu, I-Chao Shen, Yung-Yu Chuang

Attention Attention Everywhere: Monocular Depth Prediction With Skip Attention

Ashutosh Agarwal, Chetan Arora

Reconstructing Humpty Dumpty: Multi-Feature Graph Autoencoder for Open Set Action Recognition

Dawei Du, Ameya Shringi, Anthony Hoogs, Christopher Funk

Keys To Better Image Inpainting: Structure and Texture Go Hand in Hand

Jitesh Jain, Yuqian Zhou, Ning Yu, Humphrey Shi

Holistic Interaction Transformer Network for Action Detection

Gueter Josmy Faure, Min-Hung Chen, Shang-Hong Lai

Learning To Detect 3D Lanes by Shape Matching and Embedding

Ruixin Liu, Zhihao Guan, Zejian Yuan, Ao Liu, Tong Zhou

3D Neural Sculpting (3DNS): Editing Neural Signed Distance Functions

Petros Tzathas, Petros Maragos, Anastasios Roussos

Vis2Rec: A Large-Scale Visual Dataset for Visit Recommendation

Michaël Soumm, Adrian Popescu, Bertrand Delezoide

Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly

Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold

Treating Motion as Option To Reduce Motion Dependency in Unsupervised Video Object Segmentation

Suhwan Cho, Minhyeok Lee, Seunghoon Lee, Chaewon Park, Donghyeong Kim

Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small

Chenxi Lola Deng, Enzo Tartaglione

A Suspect Identification Framework Using Contrastive Relevance Feedback

Devansh Gupta, Aditya Saini, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain

High-Resolution Depth Estimation for 360deg Panoramas Through Perspective and Panoramic Depth Images Registration

Chi-Han Peng, Jiayao Zhang

PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds

Runkai Zhao, Heng Wang, Chaoyi Zhang, Weidong Cai

ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy

Junkyu Lee, Blesson Varghese, Hans Vandierendonck

ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-Based Mixing

Giulio Mattolin, Luca Zanella, Elisa Ricci, Yiming Wang

Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

Seongheon Park, Hanjae Kim, Minsu Kim, Dahye Kim, Kwanghoon Sohn

A Deep Neural Framework To Detect Individual Advertisement (Ad) From Videos

Zongyi Liu

Action-Aware Masking Network With Group-Based Attention for Temporal Action Localization

Tae-Kyung Kang, Gun-Hee Lee, Kyung-Min Jin, Seong-Whan Lee

GlobalFlowNet: Video Stabilization Using Deep Distilled Global Motion Estimates

Jerin Geo James, Devansh Jain, Ajit Rajwade

Burst Vision Using Single-Photon Cameras

Sizhuo Ma, Paul Mos, Edoardo Charbon, Mohit Gupta

Neural Distributed Image Compression With Cross-Attention Feature Alignment

Nitish Mital, Ezgi Özyilkan, Ali Garjani, Deniz Gündüz

Fast Differentiable Transient Rendering for Non-Line-of-Sight Reconstruction

Markus Plack, Clara Callenberg, Monika Schneider, Matthias B. Hullin

Semantic Segmentation in Aerial Imagery Using Multi-Level Contrastive Learning With Local Consistency

Maofeng Tang, Konstantinos Georgiou, Hairong Qi, Cody Champion, Marc Bosch

Modeling the Lighting in Scenes As Style for Auto White-Balance Correction

Furkan Kınlı, Doğa Yılmaz, Barış Özcan, Furkan Kıraç

Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings With Multivariate Occupancy Time Series

Thomas Kreutz, Max Mühlhäuser, Alejandro Sanchez Guinea

Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning

Xiwen Dengxiong, Yu Kong

TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization

Yifan Xu, Pourya Shamsolmoali, Eric Granger, Claire Nicodème, Laurent Gardes

Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation

Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele

LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal

Mehmet Kerim Yucel, Valia Dimaridou, Bruno Manganelli, Mete Ozay, Anastasios Drosou

Image-Text Pre-Training for Logo Recognition

Mark Hubenthal, Suren Kumar

Patch-Based Privacy Preserving Neural Network for Vision Tasks

Mitsuhiro Mabuchi, Tetsuya Ishikawa

Adaptive Sample Selection for Robust Learning Under Label Noise

Deep Patel, P. S. Sastry

ScanNeRF: A Scalable Benchmark for Neural Radiance Fields

Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi

Separating Partially-Polarized Diffuse and Specular Reflection Components Under Unpolarized Light Sources

Soma Kajiyama, Taihe Piao, Ryo Kawahara, Takahiro Okabe

Fine Gaze Redirection Learning With Gaze Hardness-Aware Transformation

Sangjin Park, Daeha Kim, Byung Cheol Song

Unsupervised Video Object Segmentation via Prototype Memory Network

Minhyeok Lee, Suhwan Cho, Seunghoon Lee, Chaewon Park, Sangyoun Lee

CORL: Compositional Representation Learning for Few-Shot Classification

Ju He, Adam Kortylewski, Alan Yuille

Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation

Yangsong Zhang, Subhankar Roy, Hongtao Lu, Elisa Ricci, Stéphane Lathuilière

Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information

Ahmed Ben Saad, Kristina Prokopetc, Josselin Kherroubi, Axel Davy, Adrien Courtois

Fantastic Style Channels and Where To Find Them: A Submodular Framework for Discovering Diverse Directions in GANs

Enis Simsar, Umut Kocasari, Ezgi Gülperi Er, Pinar Yanardag

Lightweight Network for Video Motion Magnification

Jasdeep Singh, Subrahmanyam Murala, G. Sankara Raju Kosuru

Token Pooling in Vision Transformers for Image Classification

Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari

Performer: A Novel PPG-to-ECG Reconstruction Transformer for a Digital Biomarker of Cardiovascular Disease Detection

Ella Lan

Self-Pair: Synthesizing Changes From Single Source for Object Change Detection in Remote Sensing Imagery

Minseok Seo, Hakjin Lee, Yongjin Jeon, Junghoon Seo

Guiding Visual Question Answering With Attention Priors

Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran

Improving Saliency Models' Predictions of the Next Fixation With Humans' Intrinsic Cost of Gaze Shifts

Florian Kadner, Tobias Thomas, David Hoppe, Constantin A. Rothkopf

Relation Preserving Triplet Mining for Stabilising the Triplet Loss In re-Identification Systems

Adhiraj Ghosh, Kuruparan Shanmugalingam, Wen-Yan Lin

Pixel-Wise Prediction Based Visual Odometry via Uncertainty Estimation

Hao-Wei Chen, Ting-Hsuan Liao, Hsuan-Kung Yang, Chun-Yi Lee

Multivariate Probabilistic Monocular 3D Object Detection

Xuepeng Shi, Zhixiang Chen, Tae-kyun Kim

Self-Distillation for Unsupervised 3D Domain Adaptation

Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano

Patch-Level Gaze Distribution Prediction for Gaze Following

Qiaomu Miao, Minh Hoai, Dimitris Samaras

Self-Improving Multiplane-To-Layer Images for Novel View Synthesis

Pavel Solovev, Taras Khakhulin, Denis Korzhenkov

Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing

Kyusik Cho, Suhyeon Lee, Hongje Seong, Euntai Kim

Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient?

Quentin Bouniot, Angélique Loesch, Romaric Audigier, Amaury Habrard

ImpDet: Exploring Implicit Fields for 3D Object Detection

Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu

GliTr: Glimpse Transformers With Spatiotemporal Consistency for Online Action Prediction

Samrudhdhi B. Rangrej, Kevin J. Liang, Tal Hassner, James J. Clark

Mapping DNN Embedding Manifolds for Network Generalization Prediction

Molly O’Brien, Brett Wolfinger, Julia Bukowski, Mathias Unberath, Aria Pezeshk

MFCFlow: A Motion Feature Compensated Multi-Frame Recurrent Network for Optical Flow Estimation

Yonghu Chen, Dongchen Zhu, Wenjun Shi, Guanghui Zhang, Tianyu Zhang

Revisiting Training-Free NAS Metrics: An Efficient Training-Based Method

Taojiannan Yang, Linjie Yang, Xiaojie Jin, Chen Chen

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study

Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan Turaga

Backprop Induced Feature Weighting for Adversarial Domain Adaptation With Iterative Label Distribution Alignment

Thomas Westfechtel, Hao-Wei Yeh, Qier Meng, Yusuke Mukuta, Tatsuya Harada

Adversarial Robustness in Discontinuous Spaces via Alternating Sampling & Descent

Rahul Venkatesh, Eric Wong, Zico Kolter

RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow

Ben Usman, Dina Bashkirova, Kate Saenko

DSAG: A Scalable Deep Framework for Action-Conditioned Multi-Actor Full Body Motion Synthesis

Debtanu Gupta, Shubh Maheshwari, Sai Shashank Kalakonda, Manasvi Vaidyula, Ravi Kiran Sarvadevabhatla

Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types

Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister

SLI-pSp: Injecting Multi-Scale Spatial Layout in pSp

Aradhya Neeraj Mathur, Anish Madan, Ojaswa Sharma

Spatio-Temporal Action Detection Under Large Motion

Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool

FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness

Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A. Beerel

SD-Pose: Structural Discrepancy Aware Category-Level 6D Object Pose Estimation

Guowei Li, Dongchen Zhu, Guanghui Zhang, Wenjun Shi, Tianyu Zhang

Center-Aware Adversarial Augmentation for Single Domain Generalization

Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann

Fashion Image Retrieval With Text Feedback by Additive Attention Compositional Learning

Yuxin Tian, Shawn Newsam, Kofi Boakye

Nested Deformable Multi-Head Attention for Facial Image Inpainting

Shruti S. Phutke, Subrahmanyam Murala

SGPCR: Spherical Gaussian Point Cloud Representation and Its Application To Object Registration and Retrieval

Driton Salihu, Eckehard Steinbach

Fast and Accurate: Video Enhancement Using Sparse Depth

Yu Feng, Patrick Hansen, Paul N. Whatmough, Guoyu Lu, Yuhao Zhu

Are Straight-Through Gradients and Soft-Thresholding All You Need for Sparse Training?

Antoine Vanderschueren, Christophe De Vleeschouwer

Match Cutting: Finding Cuts With Smooth Visual Transitions

Boris Chen, Amir Ziai, Rebecca S. Tucker, Yuchen Xie

Interpolated SelectionConv for Spherical Images and Surfaces

David Hart, Michael Whitney, Bryan Morse

TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

JINYU YANG, Jingjing Liu, Ning Xu, Junzhou Huang

Multi-View Action Recognition Using Contrastive Learning

Ketul Shah, Anshul Shah, Chun Pong Lau, Celso M. de Melo, Rama Chellappa

Harnessing Unrecognizable Faces for Improving Face Recognition

Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto

From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments

Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan

GAF-Net: Improving the Performance of Remote Sensing Image Fusion Using Novel Global Self and Cross Attention Learning

Ankit Jha, Shirsha Bose, Biplab Banerjee

Indirect Adversarial Losses via an Intermediate Distribution for Training GANs

Rui Yang, Duc Minh Vo, Hideki Nakayama

End-to-End Single-Frame Image Signal Processing for High Dynamic Range Scenes

Khanh Quoc Dinh, Kwang Pyo Choi

Fine-Grained Affordance Annotation for Egocentric Hand-Object Interaction Videos

Zecheng Yu, Yifei Huang, Ryosuke Furuta, Takuma Yagi, Yusuke Goutsu

MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network

Debabrata Pal, Shirsha Bose, Biplab Banerjee, Yogananda Jeppu