WACV 2023

639 papers

Real-Time Restoration of Dark Stereo Images

Mohit Lamba, M. V. A. Suhas Kumar, Kaushik Mitra

Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning

Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang

M-FUSE: Multi-Frame Fusion for Scene Flow Estimation

Lukas Mehl, Azin Jahedi, Jenny Schmalfuss, Andrés Bruhn

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk

TTTFlow: Unsupervised Test-Time Training With Normalizing Flow

David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed

Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently

Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le, Huy H. Nguyen, Isao Echizen

Beyond RGB: Scene-Property Synthesis With Neural Radiance Fields

Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang

Multi-Scale Contrastive Learning for Complex Scene Generation

Hanbit Lee, Youna Kim, Sang-goo Lee

Text-Guided Object Detector for Multi-Modal Video Question Answering

Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda

Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation

Zeyun Zhong, David Schneider, Michael Voit, Rainer Stiefelhagen, Jurgen Beyerer

More Knowledge, Less Bias: Unbiasing Scene Graph Generation With Explicit Ontological Adjustment

Zhanwen Chen, Saed Rezayi, Sheng Li

Recovering Fine Details for Neural Implicit Surface Reconstruction

Decai Chen, Peng Zhang, Ingo Feldmann, Oliver Schreer, Peter Eisert

Computer Vision to the Rescue: Infant Postural Symmetry Estimation From Incongruent Annotations

Xiaofei Huang, Michael Wan, Lingfei Luan, Bethany Tunik, Sarah Ostadabbas

A Quality Aware Sample-to-Sample Comparison for Face Recognition

Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Zafari, Moktari Mostofa, Nasser M. Nasrabadi

A Priority Map for Vision-and-Language Navigation With Trajectory Plans and Feature-Location Cues

Jason Armitage, Leonardo Impett, Rico Sennrich

CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-Aware Image Synthesis

Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo

VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images

Kechun Liu, Beibin Li, Wenjun Wu, Caitlin May, Oliver Chang

Enabling ISPless Low-Power Computer Vision

Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal

WHFL: Wavelet-Domain High Frequency Loss for Sketch-to-Image Translation

Min Woo Kim, Nam Ik Cho

Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing

Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images

Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida

Overlap-Guided Gaussian Mixture Models for Point Cloud Registration

Guofeng Mei, Fabio Poiesi, Cristiano Saltori, Jian Zhang, Elisa Ricci

Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition

Jonghyeon Seon, Jaedong Hwang, Jonghwan Mun, Bohyung Han

Searching Efficient Neural Architecture With Multi-Resolution Fusion Transformer for Appearance-Based Gaze Estimation

Vikrant Nagpure, Kenji Okuma

Calibrating Deep Neural Networks Using Explicit Regularisation and Dynamic Data Pruning

Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig

Asymmetric Student-Teacher Networks for Industrial Anomaly Detection

Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt

TinyHD: Efficient Video Saliency Prediction With Heterogeneous Decoders Using Hierarchical Maps Distillation

Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Morteza Moradi

Hyperspherical Quantization: Toward Smaller and More Accurate Models

Dan Liu, Xi Chen, Chen Ma, Xue Liu

EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification

Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen

Performance Comparison of DVS Data Spatial Downscaling Methods Using Spiking Neural Networks

Amélie Gruel, Jean Martinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona

SIRA: Relightable Avatars From a Single Image

Pol Caselles, Eduard Ramon, Jaime Garcia, Xavier Giró-i-Nieto, Francesc Moreno-Noguer

SCTS: Instance Segmentation of Single Cells Using a Transformer-Based Semantic-Aware Model and Space-Filling Augmentation

Yating Zhou, Wenjing Li, Ge Yang

Creating a Forensic Database of Shoeprints From Online Shoe-Tread Photos

Samia Shafique, Bailey Kong, Shu Kong, Charless Fowlkes

Content-Based Music-Image Retrieval Using Self- and Cross-Modal Feature Embedding Memory

Takayuki Nakatsuka, Masahiro Hamasaki, Masataka Goto

Back to MLP: A Simple Baseline for Human Motion Prediction

Wen Guo, Yuming Du, Xi SHEN, Vincent Lepetit, Xavier Alameda-Pineda

DeepPrivacy2: Towards Realistic Full-Body Anonymization

Håkon Hukkelås, Frank Lindseth

Learning Graph Variational Autoencoders With Constraints and Structured Priors for Conditional Indoor 3D Scene Generation

Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal

QMagFace: Simple and Accurate Quality-Aware Face Recognition

Philipp Terhorst, Malte Ihlefeld, Marco Huber, Naser Damer, Florian Kirchbuchner

Semantic Guided Latent Parts Embedding for Few-Shot Learning

Fengyuan Yang, Ruiping Wang, Xilin Chen

Universal Deep Image Compression via Content-Adaptive Optimization With Adapters

Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa

An Embedding-Dynamic Approach to Self-Supervised Learning

Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John Canny

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning

Grégoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide

Hyperblock Floating Point: Generalised Quantization Scheme for Gradient and Inference Computation

Marcelo Gennari do Nascimento, Victor Adrian Prisacariu, Roger Fawcett, Martin Langhammer

Towards Equivariant Optical Flow Estimation With Deep Learning

Stefano Savian, Pietro Morerio, Alessio Del Bue, Andrea A. Janes, Tammam Tillo

Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation

Verica Lazova, Vladimir Guzov, Kyle Olszewski, Sergey Tulyakov, Gerard Pons-Moll

Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation

Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen

Dance Style Transfer With Cross-Modal Transformer

Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman

Planar Object Tracking via Weighted Optical Flow

Jonáš Šerých, Jiri Matas

A Neural Video Codec With Spatial Rate-Distortion Control

Noor Fathima, Jens Petersen, Guillaume Sautiere, Auke Wiggers, Reza Pourreza

Concept Correlation and Its Effects on Concept-Based Models

Lena Heidemann, Maureen Monnet, Karsten Roscher

Self-Supervised Learning With Local Contrastive Loss for Detection and Semantic Segmentation

Ashraful Islam, Benjamin Lundell, Harpreet Sawhney, Sudipta N. Sinha, Peter Morales

Visually Explaining 3D-CNN Predictions for Video Classification With an Adaptive Occlusion Sensitivity Analysis

Tomoki Uchiyama, Naoya Sogi, Koichiro Niinuma, Kazuhiro Fukui

Randomness Is the Root of All Evil: More Reliable Evaluation of Deep Active Learning

Yilin Ji, Daniel Kaestner, Oliver Wirth, Christian Wressnegger

A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation

Georgy Ponimatkin, Nermin Samet, Yang Xiao, Yuming Du, Renaud Marlet

BoxMask: Revisiting Bounding Box Supervision for Video Object Detection

Khurram Azeem Hashmi, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal

Dissecting Deep Metric Learning Losses for Image-Text Retrieval

Hong Xuan, Xi (Stephen) Chen

Delving Into Masked Autoencoders for Multi-Label Thorax Disease Classification

Junfei Xiao, Yutong Bai, Alan Yuille, Zongwei Zhou

Gait Recognition Using 3-D Human Body Shape Inference

Haidong Zhu, Zhaoheng Zheng, Ram Nevatia

Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery With Transformers

Zhiwei Lin, Zengyu Yang, Yongtao Wang

PreViTS: Contrastive Pretraining With Video Tracking Supervision

Brian Chen, Ramprasaath R. Selvaraju, Shih-fu Chang, Juan Carlos Niebles, Nikhil Naik

Masked Image Modeling Advances 3D Medical Image Analysis

Zekai Chen, Devansh Agarwal, Kshitij Aggarwal, Wiem Safta, Mariann Micsinai Balan

MRI Imputation Based on Fused Index- and Intensity-Registration

Jiyoon Shin, Jungwoo Lee

ViewCLR: Learning Self-Supervised Video Representation for Unseen Viewpoints

Srijan Das, Michael S. Ryoo

Orthogonal Transforms for Learning Invariant Representations in Equivariant Neural Networks

Jaspreet Singh, Chandan Singh, Ankur Rana

Self-Supervised Clustering Based on Manifold Learning and Graph Convolutional Networks

Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette

Anomaly Detection in 3D Point Clouds Using Deep Geometric Descriptors

Paul Bergmann, David Sattlegger

Multimodal Vision Transformers With Forced Attention for Behavior Analysis

Tanay Agrawal, Michal Balazia, Philipp Müller, francois bremond

Learning Incoherent Light Emission Steering From Metasurfaces Using Generative Models

Prasad P. Iyer, Saaketh Desai, Sadhvikas Addamane, Remi Dingreville, Igal Brener

Guiding Users to Where To Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization

Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park

Addressing Feature Suppression in Unsupervised Visual Representations

Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian

Semantic Segmentation of Degraded Images Using Layer-Wise Feature Adjustor

Kazuki Endo, Masayuki Tanaka, Masatoshi Okutomi

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi

Gallery Filter Network for Person Search

Lucas Jaffe, Avideh Zakhor

Video Joint Denoising and Demosaicing With Recurrent CNNs

Valery Dewil, Adrien Courtois, Mariano RODRIGUEZ, Thibaud Ehret, Nicola Brandonisio

Skew-Robust Human-Object Interactions in Videos

Apoorva Agarwal, Rishabh Dabral, Arjun Jain, Ganesh Ramakrishnan

Simultaneous Acquisition of High Quality RGB Image and Polarization Information Using a Sparse Polarization Sensor

Teppei Kurita, Yuhi Kondo, Legong Sun, Yusuke Moriuchi

Compact and Optimal Deep Learning With Recurrent Parameter Generators

Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun

Multi-Scale Cell-Based Layout Representation for Document Understanding

Yuzhi Shi, Mijung Kim, Yeongnam Chae

PatchZero: Defending Against Adversarial Patch Attacks by Detecting and Zeroing the Patch

Ke Xu, Yao Xiao, Zhaoheng Zheng, Kaijie Cai, Ram Nevatia

FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification

Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh

Pik-Fix: Restoring and Colorizing Old Photos

Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li

Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation

Zhihong Pan, Xin Zhou, Hao Tian

EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement

Xin Liu, Brian Hill, Ziheng Jiang, Shwetak Patel, Daniel McDuff

3D-SpLineNet: 3D Traffic Line Detection Using Parametric Spline Representations

Maximilian Pittner, Alexandru Condurache, Joel Janai

No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images

Nithin C. Babu, Vignesh Kannan, Rajiv Soundararajan

SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution

Shwai He, Chenbo Jiang, Daize Dong, Liang Ding

Towards a Framework for Privacy-Preserving Pedestrian Analysis

Anil Kunchala, Mélanie Bouroche, Bianca Schoen-Phelan

Unsupervised Multi-Object Segmentation Using Attention and Soft-Argmax

Bruno Sauvalle, Arnaud de La Fortelle

GaIA: Graphical Information Gain Based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation

Min Seok Lee, Seok Woo Yang, Sung Won Han

Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation

Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim

Unifying Margin-Based Softmax Losses in Face Recognition

Yang Zhang, Simao Herdade, Kapil Thadani, Eric Dodds, Jack Culpepper

Adaptively-Realistic Image Generation From Stroke and Sketch With Diffusion Model

Shin-I Cheng, Yu-Jie Chen, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee

Efficient Flow-Guided Multi-Frame De-Fencing

Stavros Tsogkas, Fengjia Zhang, Allan Jepson, Alex Levinshtein

Bent & Broken Bicycles: Leveraging Synthetic Data for Damaged Object Re-Identification

Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra

Transformers for Recognition in Overhead Imagery: A Reality Check

Francesco Luzi, Aneesh Gupta, Leslie Collins, Kyle Bradbury, Jordan Malof

Event-Specific Audio-Visual Fusion Layers: A Simple and New Perspective on Video Understanding

Arda Senocak, Junsik Kim, Tae-Hyun Oh, Dingzeyu Li, In So Kweon

BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow

Rémi Marsal, Florian Chabot, Angélique Loesch, Hichem Sahbi

PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement

Hue Nguyen, Diep Tran, Khoi Nguyen, Rang Nguyen

Few-Shot Object Counting With Similarity-Aware Feature Enhancement

Zhiyuan You, Kai Yang, Wenhan Luo, Xin Lu, Lei Cui

DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers

Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty