WACV 2023

639 papers

Cross-Resolution Flow Propagation for Foveated Video Super-Resolution

Eugene Lee, Lien-Feng Hsu, Evan Chen, Chen-Yi Lee

Single Stage Weakly Supervised Semantic Segmentation of Complex Scenes

Peri Akiva, Kristin Dana

BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds

Youshan Zhang, Jialu Li

CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-Wild 2D Annotations

Cheng-Yen Yang, Jiajia Luo, Lu Xia, Yuyin Sun, Nan Qiao

The Fully Convolutional Transformer for Medical Image Segmentation

Athanasios Tragakis, Chaitanya Kaul, Roderick Murray-Smith, Dirk Husmeier

Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction

yan yang, Md Zakir Hossain, Eric A. Stone, Shafin Rahman

Recipe2Video: Synthesizing Personalized Videos From Recipe Texts

Prateksha Udhayanan, Suryateja BV, Parth Laturia, Dev Chauhan, Darshan Khandelwal

Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence

Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang

Self-Supervised Correspondence Estimation via Multiview Registration

Mohamed El Banani, Ignacio Rocco, David Novotny, Andrea Vedaldi, Natalia Neverova

Joint Video Rolling Shutter Correction and Super-Resolution

Akash Gupta, Sudhir Kumar Singh, Amit K. Roy-Chowdhury

Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

Matthias Rottmann, Marco Reese

Domain Adaptation Using Self-Training With Mixup for One-Stage Object Detection

Jitender Maurya, Keyur R. Ranipa, Osamu Yamaguchi, Tomoyuki Shibata, Daisuke Kobayashi

Sim2RealVS: A New Benchmark for Video Stabilization With a Strong Baseline

Qi Rao, Xin Yu, Shant Navasardyan, Humphrey Shi

GAFNet: A Global Fourier Self Attention Based Novel Network for Multi-Modal Downstream Tasks

Onkar Susladkar, Gayatri Deshmukh, Dhruv Makwana, Sparsh Mittal, R. Sai Chandra Teja

MonoEdge: Monocular 3D Object Detection Using Local Perspectives

Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng

Multi-Frame Attention With Feature-Level Warping for Drone Crowd Tracking

Takanori Asanomi, Kazuya Nishimura, Ryoma Bise

Two-Level Data Augmentation for Calibrated Multi-View Detection

Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua

Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs

Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi

DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network

Kamalakar Vijay Thakare, Yash Raghuwanshi, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim

COPE: End-to-End Trainable Constant Runtime Object Pose Estimation

Stefan Thalhammer, Timothy Patten, Markus Vincze

Context-Empowered Visual Attention Prediction in Pedestrian Scenarios

Igor Vozniak, Philipp Müller, Lorena Hell, Nils Lipp, Ahmed Abouelazm

Rethinking the Data Annotation Process for Multi-View 3D Pose Estimation With Active Learning and Self-Training

Qi Feng, Kun He, He Wen, Cem Keskin, Yuting Ye

Burst Reflection Removal Using Reflection Motion Aggregation Cues

B. H. Pawan Prasad, Green Rosh K. S., Lokesh R. B., Kaushik Mitra

A Simple and Efficient Pipeline To Build an End-to-End Spatial-Temporal Action Detector

Lin Sui, Chen-Lin Zhang, Lixin Gu, feng han

Online Knowledge Distillation for Multi-Task Learning

Geethu Miriam Jacob, Vishal Agarwal, Bjorn Stenger

SONGs: Self-Organizing Neural Graphs

Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński

Toward Edge-Efficient Dense Predictions With Synergistic Multi-Task Neural Architecture Search

Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm

Benchmarking Visual Localization for Autonomous Navigation

Lauri Suomela, Jussi Kalliola, Atakan Dag, Harry Edelman, Joni-Kristian Kämäräinen

AT-DDPM: Restoring Faces Degraded by Atmospheric Turbulence Using Denoising Diffusion Probabilistic Models

Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel

LAVA: Label-Efficient Visual Learning and Adaptation

Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi

Accelerating Self-Supervised Learning via Efficient Training Strategies

Mustafa Taha Koçyiğit, Timothy M. Hospedales, Hakan Bilen

STAR-Transformer: A Spatio-Temporal Cross Attention Transformer for Human Action Recognition

Dasom Ahn, Sangwon Kim, Hyunsu Hong, Byoung Chul Ko

A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images

Puria Azadi Moghadam, Sanne Van Dalen, Karina C. Martin, Jochen Lennerz, Stephen Yip

Global-Local Self-Distillation for Visual Representation Learning

Tim Lebailly, Tinne Tuytelaars

Towards Generating Ultra-High Resolution Talking-Face Videos With Lip Synchronization

Anchit Gupta, Rudrabha Mukhopadhyay, Sindhu Balachandra, Faizan Farooq Khan, Vinay P. Namboodiri

DSFormer: A Dual-Domain Self-Supervised Transformer for Accelerated Multi-Contrast MRI Reconstruction

Bo Zhou, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Chi Liu

TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking

Peng Chu, Jiang Wang, Quanzeng You, Haibin Ling, Zicheng Liu

Image Segmentation-Based Unsupervised Multiple Objects Discovery

Sandra Kara, Hejer Ammar, Florian Chabot, Quoc-Cuong Pham

SPIQ: Data-Free Per-Channel Static Input Quantization

Edouard YVINEC, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

GLAD: A Global-to-Local Anomaly Detector

Aitor Artola, Yannis Kolodziej, Jean-Michel Morel, Thibaud Ehret

Mutual Learning for Long-Tailed Recognition

Changhwa Park, Junho Yim, Eunji Jun

Modeling Stroke Mask for End-to-End Text Erasing

Xiangcheng Du, Zhao Zhou, Yingbin Zheng, Tianlong Ma, Xingjiao Wu

Motion Aware Self-Supervision for Generic Event Boundary Detection

Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton

AudioViewer: Learning To Visualize Sounds

Chunjin Song, Yuchi Zhang, Willis Peng, Parmis Mohaghegh, Bastian Wandt

Learning Few-Shot Segmentation From Bounding Box Annotations

Byeolyi Han, Tae-Hyun Oh

Autoencoder-Based Background Reconstruction and Foreground Segmentation With Background Noise Estimation

Bruno Sauvalle, Arnaud de La Fortelle

More Than Just Attention: Improving Cross-Modal Attentions With Contrastive Constraints for Image-Text Matching

Yuxiao Chen, Jianbo Yuan, Long Zhao, Tianlang Chen, Rui Luo

SeCo: Separating Unknown Musical Visual Sounds With Consistency Guidance

Xinchi Zhou, Dongzhan Zhou, Wanli Ouyang, Hang Zhou, Di Hu

Task Agnostic and Post-Hoc Unseen Distribution Detection

Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi

DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation

Siamul Karim Khan, Patrick Tinsley, Adam Czajka

Auxiliary Task-Guided CycleGAN for Black-Box Model Domain Adaptation

Michael Essich, Markus Rehmann, Cristóbal Curio

Scaling Novel Object Detection With Weakly Supervised Detection Transformers

Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi

Single-Image HDR Reconstruction by Multi-Exposure Generation

Phuoc-Hieu Le, Quynh Le, Rang Nguyen, Binh-Son Hua

Self-Supervised Monocular Depth Estimation From Thermal Images via Adversarial Multi-Spectral Adaptation

Ukcheol Shin, KwanYong Park, Byeong-Uk Lee, Kyunghyun Lee, In So Kweon

Uncertainty-Aware Label Distribution Learning for Facial Expression Recognition

Nhat Le, Khanh Nguyen, Quang Tran, Erman Tjiputra, Bac Le

GEMS: Scene Expansion Using Generative Models of Graphs

Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni

Wiener Guided DIP for Unsupervised Blind Image Deconvolution

Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu

A Protocol for Evaluating Model Interpretation Methods From Visual Explanations

Hamed Behzadi-Khormouji, Jose Oramas

ImPosing: Implicit Pose Encoding for Efficient Visual Localization

Arthur Moreau, Thomas Gilles, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu

On Quantizing Implicit Neural Representations

Cameron Gordon, Shin-Fang Chng, Lachlan MacDonald, Simon Lucey

CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning-Based Synthetic Face Detection

Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka

Splatting-Based Synthesis for Video Frame Interpolation

Simon Niklaus, Ping Hu, Jiawen Chen

Adversarial Local Distribution Regularization for Knowledge Distillation

Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung

Full Contextual Attention for Multi-Resolution Transformers in Semantic Segmentation

Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler

Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels

Brandon Smart, Gustavo Carneiro

TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Learning Latent Structural Relations With Message Passing Prior

Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li

Intention-Conditioned Long-Term Human Egocentric Action Anticipation

Esteve Valls Mascaro, Hyemin Ahn, Dongheui Lee

Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing

Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo

Centroid Distance Keypoint Detector for Colored Point Clouds

Hanzhe Teng, Dimitrios Chatziparaschis, Xinyue Kan, Amit K. Roy-Chowdhury, Konstantinos Karydis

FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection

Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov, Maja Pantic

SketchInverter: Multi-Class Sketch-Based Image Generation via GAN Inversion

Zirui An, Jingbo Yu, Runtao Liu, Chuang Wang, Qian Yu

Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer

Tai-Yin Chiu, Danna Gurari

Expansion of Visual Hints for Improved Generalization in Stereo Matching

Andrea Pilzer, Yuxin Hou, Niki Loppi, Arno Solin, Juho Kannala

Computer Vision for Ocean Eddy Detection in Infrared Imagery

Evangelos Moschos, Alisa Kugusheva, Paul Coste, Alexandre Stegner

ATCON: Attention Consistency for Vision Models

Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo

Watching the News: Towards VideoQA Models That Can Read

Soumya Jahagirdar, Minesh Mathew, Dimosthenis Karatzas, C. V. Jawahar

Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond

Jie An, Tao Li, Haozhi Huang, Jinwen Ma, Jiebo Luo

ElliPose: Stereoscopic 3D Human Pose Estimation by Fitting Ellipsoids

Christian Grund, Julian Tanke, Jürgen Gall

Composite Relationship Fields With Transformers for Scene Graph Generation

George Adaimi, David Mizrahi, Alexandre Alahi

Self-Attention Message Passing for Contrastive Few-Shot Learning

Ojas Kishorkumar Shirekar, Anuj Singh, Hadi Jamali-Rad

DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings

Bingchuan Li, Shaofei Cai, Wei Liu, Peng Zhang, Qian He

Generative Alignment of Posterior Probabilities for Source-Free Domain Adaptation

Sachin Chhabra, Hemanth Venkateswara, baoxin Li

Encouraging Disentangled and Convex Representation With Controllable Interpolation Regularization

Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang

Meta-Learning for Adaptation of Deep Optical Flow Networks

Chaerin Min, Taehyun Kim, Jongwoo Lim

Efficient Few-Shot Learning for Pixel-Precise Handwritten Document Layout Analysis

Axel De Nardin, Silvia Zottin, Matteo Paier, Gian Luca Foresti, Emanuela Colombi

Heatmap-Based Out-of-Distribution Detection

Julia Hornauer, Vasileios Belagiannis

Improving Diversity With Adversarially Learned Transformations for Domain Generalization

Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral

Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?

Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina

Semantic Segmentation With Active Semi-Supervised Learning

Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman

Segmentation-Free Direct Iris Localization Networks

Takahiro Toizumi, Koichi Takahashi, Masato Tsukada

Avoiding Lingering in Learning Active Recognition by Adversarial Disturbance

Lei Fan, Ying Wu

3DMM-RF: Convolutional Radiance Fields for 3D Face Modeling

Stathis Galanakis, Baris Gecer, Alexandros Lattas, Stefanos Zafeiriou

Hear the Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization

Dennis Fedorishin, Deen Dayal Mohan, Bhavin Jawade, Srirangaraj Setlur, Venu Govindaraju

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution

Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou

Frame Interpolation for Dynamic Scenes With Implicit Flow Encoding

Pedro Figueirêdo, Avinash Paliwal, Nima Khademi Kalantari

Ego-Vehicle Action Recognition Based on Semi-Supervised Contrastive Learning

Chihiro Noguchi, Toshihiro Tanizawa

The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation

Daniel Steininger, Andreas Trondl, Gerardus Croonen, Julia Simon, Verena Widhalm

CFL-Net: Image Forgery Localization Using Contrastive Learning

Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo

Automatically Annotating Indoor Images With CAD Models via RGB-D Scans

Stefan Ainetter, Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit