WACV 2024

846 papers

UGPNet: Universal Generative Prior for Image Restoration

Hwayoon Lee, Kyoungkook Kang, Hyeongmin Lee, Seung-Hwan Baek, Sunghyun Cho

HDMNet: A Hierarchical Matching Network With Double Attention for Large-Scale Outdoor LiDAR Point Cloud Registration

Weiyi Xue, Fan Lu, Guang Chen

TIAM - A Metric for Evaluating Alignment in Text-to-Image Generation

Paul Grimal, Herve Le Borgne, Olivier Ferret, Julien Tourille

Self-Supervised Learning of Semantic Correspondence Using Web Videos

Donghyeon Kwon, Minsu Cho, Suha Kwak

Consistent Multimodal Generation via a Unified GAN Framework

Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu

UNSPAT: Uncertainty-Guided SpatioTemporal Transformer for 3D Human Pose and Shape Estimation on Videos

Minsoo Lee, Hyunmin Lee, Bumsoo Kim, Seunghwan Kim

NOMAD: A Natural, Occluded, Multi-Scale Aerial Dataset, for Emergency Response Scenarios

Arturo Miguel Russell Bernal, Walter Scheirer, Jane Cleland-Huang

Fine-Grained Alignment for Cross-Modal Recipe Retrieval

Muntasir Wahed, Xiaona Zhou, Tianjiao Yu, Ismini Lourentzou

Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos

Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

Camera-Independent Single Image Depth Estimation From Defocus Blur

Lahiru Wijayasingha, Homa Alemzadeh, John A. Stankovic

Collage Diffusion

Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Re, Kayvon Fatahalian

PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks

Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan

ICF-SRSR: Invertible Scale-Conditional Function for Self-Supervised Real-World Single Image Super-Resolution

Reyhaneh Neshatavar, Mohsen Yavartanoo, Sanghyun Son, Kyoung Mu Lee

Evidential Uncertainty Quantification: A Variance-Based Perspective

Ruxiao Duan, Brian Caffo, Harrison X. Bai, Haris I. Sair, Craig Jones

Robust TRISO-Fueled Pebble Identification by Digit Recognition

Roshan Kenia, Jihane Mendil, Ahmed Jasim, Muthanna Al-Dahhan, Zhaozheng Yin

Revisiting Latent Space of GAN Inversion for Robust Real Image Editing

Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama

Beyond SOT: Tracking Multiple Generic Objects at Once

Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool

Human Motion Aware Text-to-Video Generation With Explicit Camera Control

Taehoon Kim, ChanHee Kang, JaeHyuk Park, Daun Jeong, ChangHee Yang

Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection

Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh

USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit

Ji-Ye Jeon, Xuan Truong Nguyen, Soojung Ryu, Hyuk-Jae Lee

3D Face Style Transfer With a Hybrid Solution of NeRF and Mesh Rasterization

Jianwei Feng, Prateek Singhal

United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning From Videos

Siddhant Bansal, Chetan Arora, C. V. Jawahar

Online Class-Incremental Learning for Real-World Food Image Classification

Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu

FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices With a Simple Super-Resolution Pipeline

Chien-Yu Lin, Qichen Fu, Thomas Merth, Karren Yang, Anurag Ranjan

Can CLIP Help Sound Source Localization?

Sooyoung Park, Arda Senocak, Joon Son Chung

Unsupervised Event-Based Video Reconstruction

Gereon Fox, Xingang Pan, Ayush Tewari, Mohamed Elgharib, Christian Theobalt

FOUND: Foot Optimization With Uncertain Normals for Surface Deformation Using Synthetic Data

Oliver Boyne, Gwangbin Bae, James Charles, Roberto Cipolla

Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting

Song Wen, Hao Wang, Di Liu, Qilong Zhangli, Dimitris Metaxas

Learning To Compose SuperWeights for Neural Parameter Allocation Search

Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko

GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation With Large Domain Gap

Hyogun Lee, Kyungho Bae, Seong Jong Ha, Yumin Ko, Gyeong-Moon Park

RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection

Fengyi Wu, Tianfang Zhang, Lei Li, Yian Huang, Zhenming Peng

Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering

Xiulong Liu, Zhikang Dong, Peng Zhang

Self-Supervised Relation Alignment for Scene Graph Generation

Bicheng Xu, Renjie Liao, Leonid Sigal

Framework-Agnostic Semantically-Aware Global Reasoning for Segmentation

Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little

Depth From Asymmetric Frame-Event Stereo: A Divide-and-Conquer Approach

Xihao Chen, Wenming Weng, Yueyi Zhang, Zhiwei Xiong

Improving Normalization With the James-Stein Estimator

Seyedalireza Khoshsirat, Chandra Kambhamettu

FocusTune: Tuning Visual Localization Through Focus-Guided Sampling

Son Tung Nguyen, Alejandro Fontan, Michael Milford, Tobias Fischer

pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation

Manogna Sreenivas, Goirik Chakrabarty, Soma Biswas

HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation

Jinbo Wu, Xiaobo Gao, Xing Liu, Zhengyang Shen, Chen Zhao

Salient Object Detection for Images Taken by People With Vision Impairments

Jarek Reynolds, Chandra Kanth Nagesh, Danna Gurari

RankDVQA: Deep VQA Based on Ranking-Inspired Hybrid Training

Chen Feng, Duolikun Danier, Fan Zhang, David Bull

Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization

Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig

Density-Based Flow Mask Integration via Deformable Convolution for Video People Flux Estimation

Chang-Lin Wan, Feng-Kai Huang, Hong-Han Shuai

MotionAGFormer: Enhancing 3D Human Pose Estimation With a Transformer-GCNFormer Network

Soroush Mehraban, Vida Adeli, Babak Taati

Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective

Gihyun Kim, Juyeop Kim, Jong-Seok Lee

ATS: Adaptive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods

Gerhard Krumpl, Henning Avenhaus, Horst Possegger, Horst Bischof

Exploring the Impact of Rendering Method and Motion Quality on Model Performance When Using Multi-View Synthetic Data for Action Recognition

Stanislav Panev, Emily Kim, Sai Abhishek Si Namburu, Desislava Nikolova, Celso De Melo

Attentive Prototypes for Source-Free Unsupervised Domain Adaptive 3D Object Detection

Deepti Hegde, Vishal M. Patel

MIVC: Multiple Instance Visual Component for Visual-Language Models

Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang

Adaptive Deep Neural Network Inference Optimization With EENet

Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim Tekin

Semantic-Aware Video Representation for Few-Shot Action Recognition

Yutao Tang, Benjamín Béjar, René Vidal

Contextual Affinity Distillation for Image Anomaly Detection

Jie Zhang, Masanori Suganuma, Takayuki Okatani

CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-Aware Camera Pose Regression

Alberto Pepe, Joan Lasenby, Sven Buchholz

Continual Atlas-Based Segmentation of Prostate MRI

Amin Ranem, Camila Gonzalez, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman

Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-Based Gaze Estimation

Yoichiro Hisadome, Tianyi Wu, Jiawei Qin, Yusuke Sugano

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation

Wenxuan Wang, Jing Wang, Chen Chen, Jianbo Jiao, Yuanxiu Cai

Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models

Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan

MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds

Georg Krispel, David Schinagl, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof

2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation

Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool

Can You Even Tell Left From Right? Presenting a New Challenge for VQA

Sai Raam Venkataraman, Rishi Sridhar Rao, S. Balasubramanian, R. Raghunatha Sarma, Chandra Sekhar Vorugunti

Nested Diffusion Processes for Anytime Image Generation

Noam Elata, Bahjat Kawar, Tomer Michaeli, Michael Elad

Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition

Koen Vellenga, H. Joe Steinhauer, Göran Falkman, Tomas Björklund

Controlling Character Motions Without Observable Driving Source

Weiyuan Li, Bin Dai, Ziyi Zhou, Qi Yao, Baoyuan Wang

Optical Flow Domain Adaptation via Target Style Transfer

Jeongbeen Yoon, Sanghyun Kim, Suha Kwak, Minsu Cho

High-Fidelity Pseudo-Labels for Boosting Weakly-Supervised Segmentation

Arvi Jonnarth, Yushan Zhang, Michael Felsberg

Polarimetric PatchMatch Multi-View Stereo

Jinyu Zhao, Jumpei Oishi, Yusuke Monno, Masatoshi Okutomi

Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles From Driving Scenes

Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Guney

Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition

Takuro Fujii, Hayato Nakagawa, Teppei Takeshima, Yasushi Yumura, Tomoki Hamagami

Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling

Sithu Aung, Haesol Park, Hyungjoo Jung, Junghyun Cho

Multi-Class Segmentation From Aerial Views Using Recursive Noise Diffusion

Benedikt Kolbeinsson, Krystian Mikolajczyk

Few-Shot Shape Recognition by Learning Deep Shape-Aware Features

Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia

Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo

Maximilian Weiherer, Finn Klein, Bernhard Egger

PolyMaX: General Dense Prediction With Mask Transformer

Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu

Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning

Soumya Roy, Vinay Verma, Deepak Gupta

Common Diffusion Noise Schedules and Sample Steps Are Flawed

Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang

PlantPlotGAN: A Physics-Informed Generative Adversarial Network for Plant Disease Prediction

Felipe A. Lopes, Vasit Sagan, Flavio Esposito

A Multimodal Benchmark and Improved Architecture for Zero Shot Learning

Keval Doshi, Amanmeet Garg, Burak Uzkent, Xiaolong Wang, Mohamed Omar

ConeQuest: A Benchmark for Cone Segmentation on Mars

Mirali Purohit, Jacob Adler, Hannah Kerner

Joint 3D Shape and Motion Estimation From Rolling Shutter Light-Field Images

Hermès McGriff, Renato Martins, Nicolas Andreff, Cedric Demonceaux

Dual Domain Diffusion Guidance for 3D CBCT Metal Artifact Reduction

Yongjin Choi, Doeyoung Kwon, Seung Jun Baek

CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free

Monika Wysoczanska, Michael Ramamonjisoa, Tomasz Trzcinski, Oriane Siméoni

Differentiable JPEG: The Devil Is in the Details

Christoph Reich, Biplob Debnath, Deep Patel, Srimat Chakradhar

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks

Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash

ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes

Ahmed Abdelreheem, Kyle Olszewski, Hsin-Ying Lee, Peter Wonka, Panos Achlioptas

HELA-VFA: A Hellinger Distance-Attention-Based Feature Aggregation Network for Few-Shot Classification

Gao Yu Lee, Tanmoy Dam, Daniel Puiu Poenar, Vu N. Duong, Md Meftahul Ferdaus

ENIGMA-51: Towards a Fine-Grained Understanding of Human Behavior in Industrial Scenarios

Francesco Ragusa, Rosario Leonardi, Michele Mazzamuto, Claudia Bonanno, Rosario Scavo

Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning

Feng Wang, Senem Velipasalar, M. Cenk Gursoy

Implicit Neural Representation for Change Detection

Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

Kilian Batzner, Lars Heckler, Rebecca Konig

Late to the Party? On-Demand Unlabeled Personalized Federated Learning

Ohad Amosy, Gal Eyal, Gal Chechik

TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding

Shuo Wang, Jing Li, Zibo Zhao, Dongze Lian, Binbin Huang

StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators

Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal

Cross-Attention Between Satellite and Ground Views for Enhanced Fine-Grained Robot Geo-Localization

Dong Yuan, Frederic Maire, Feras Dayoub

Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs

Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

Few-Shot Generative Model for Skeleton-Based Human Action Synthesis Using Cross-Domain Adversarial Learning

Kenichiro Fukushi, Yoshitaka Nozaki, Kosuke Nishihara, Kentaro Nakahara

A Geometry Loss Combination for 3D Human Pose Estimation

Ai Matsune, Shichen Hu, Guangquan Li, Sihan Wen, Xiantan Zhu

Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder

Ankit Shukla, Avinash Upadhyay, Swati Bhugra, Manoj Sharma

Assessing Neural Network Robustness via Adversarial Pivotal Tuning

Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge Belongie, Sagie Benaim

Learning Intra-Class Multimodal Distributions With Orthonormal Matrices

Jumpei Goto, Yohei Nakata, Kiyofumi Abe, Yasunori Ishii, Takayoshi Yamashita

On the Importance of Large Objects in CNN Based Object Detection Algorithms

Ahmed Ben Saad, Gabriele Facciolo, Axel Davy