WACV 2024

846 papers

Pruning From Scratch via Shared Pruning Module and Nuclear Norm-Based Regularization

Donghyeon Lee, Eunho Lee, Youngbae Hwang

ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection From RGB-Thermal Drone Imagery

Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Nadir Erbilgin, Nilanjan Ray

DPPMask: Masked Image Modeling With Determinantal Point Processes

Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao

Video Instance Matting

Jiachen Li, Roberto Henschel, Vidit Goel, Marianna Ohanyan, Shant Navasardyan

Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation

Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, VSSV Prasad, Charu Sharma

Enhancing Diverse Intra-Identity Representation for Visible-Infrared Person Re-Identification

Sejun Kim, Soonyong Gwon, Kisung Seo

Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation

Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán McLoone

PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers Using Synthetic Scene Data

Roei Herzig, Ofir Abramovich, Elad Ben Avraham, Assaf Arbelle, Leonid Karlinsky

Solving the Plane-Sphere Ambiguity in Top-Down Structure-From-Motion

Lars Haalck, Benjamin Risse

AnyStar: Domain Randomized Universal Star-Convex 3D Instance Segmentation

Neel Dey, Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Ellen Grant

Let's Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach

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

Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-Modal Magnetic Resonance Imaging Study

Jonghun Kim, Hyunjin Park

MS-EVS: Multispectral Event-Based Vision for Deep Learning Based Face Detection

Saad Himmi, Vincent Parret, Ajad Chhatkuli, Luc Van Gool

Boosting Weakly Supervised Object Detection Using Fusion and Priors From Hallucinated Depth

Cagri Gungor, Adriana Kovashka

Distortion-Disentangled Contrastive Learning

Jinfeng Wang, Sifan Song, Jionglong Su, S. Kevin Zhou

FinderNet: A Data Augmentation Free Canonicalization Aided Loop Detection and Closure Technique for Point Clouds in 6-DOF Separation.

Sudarshan S. Harithas, Gurkirat Singh, Aneesh Chavan, Sarthak Sharma, Suraj Patni

EmoStyle: One-Shot Facial Expression Editing Using Continuous Emotion Parameters

Bita Azari, Angelica Lim

DISCO: Distributed Inference With Sparse Communications

Minghai Qin, Chao Sun, Jaco Hofmann, Dejan Vucinic

EvDNeRF: Reconstructing Event Data With Dynamic Neural Radiance Fields

Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera, Sai Vemprala, Rogerio Bonatti

DR2: Disentangled Recurrent Representation Learning for Data-Efficient Speech Video Synthesis

Chenxu Zhang, Chao Wang, Yifan Zhao, Shuo Cheng, Linjie Luo

Open-Set Object Detection by Aligning Known Class Representations

Hiran Sarkar, Vishal Chudasama, Naoyuki Onoe, Pankaj Wasnik, Vineeth N. Balasubramanian

Top-Down Beats Bottom-Up in 3D Instance Segmentation

Maksim Kolodiazhnyi, Anna Vorontsova, Anton Konushin, Danila Rukhovich

Real-Time Polyp Detection in Colonoscopy Using Lightweight Transformer

Youngbeom Yoo, Jae Young Lee, Dong-Jae Lee, Jiwoon Jeon, Junmo Kim

Masked Event Modeling: Self-Supervised Pretraining for Event Cameras

Simon Klenk, David Bonello, Lukas Koestler, Nikita Araslanov, Daniel Cremers

Guided Cluster Aggregation: A Hierarchical Approach to Generalized Category Discovery

Jona Otholt, Christoph Meinel, Haojin Yang

Physical-Space Multi-Body Mesh Detection Achieved by Local Alignment and Global Dense Learning

Haoye Dong, Tiange Xiang, Sravan Chittupalli, Jun Liu, Dong Huang

Text-to-Image Models for Counterfactual Explanations: A Black-Box Approach

Guillaume Jeanneret, Loic Simon, Frederic Jurie

Semantic Generative Augmentations for Few-Shot Counting

Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Herve Le Borgne

IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather

Furqan Ahmed Shaik, Abhishek Reddy, Nikhil Reddy Billa, Kunal Chaudhary, Sunny Manchanda

Single-Image Deblurring, Trajectory and Shape Recovery of Fast Moving Objects With Denoising Diffusion Probabilistic Models

Radim Spetlik, Denys Rozumnyi, Jiri Matas

Driving Through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving

Jessica Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta

WalkFormer: Point Cloud Completion via Guided Walks

Mohang Zhang, Yushi Li, Rong Chen, Yushan Pan, Jia Wang

Out-of-Distribution Detection With Logical Reasoning

Konstantin Kirchheim, Tim Gonschorek, Frank Ortmeier

MFT: Long-Term Tracking of Every Pixel

Michal Neoral, Jonáš Šerých, Jiri Matas

Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection

Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai

Effects of Markers in Training Datasets on the Accuracy of 6D Pose Estimation

Janis Rosskamp, Rene Weller, Gabriel Zachmann

LaughTalk: Expressive 3D Talking Head Generation With Laughter

Kim Sung-Bin, Lee Hyun, Da Hye Hong, Suekyeong Nam, Janghoon Ju

Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining

Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp

LidarCLIP or: How I Learned To Talk to Point Clouds

Georg Hess, Adam Tonderski, Christoffer Petersson, Kalle Åström, Lennart Svensson

Recognition of Unseen Bird Species by Learning From Field Guides

Andrés C. Rodríguez, Stefano D'Aronco, Rodrigo Caye Daudt, Jan D. Wegner, Konrad Schindler

Leveraging Task-Specific Pre-Training To Reason Across Images and Videos

Arka Sadhu, Ram Nevatia

PoseDiff: Pose-Conditioned Multimodal Diffusion Model for Unbounded Scene Synthesis From Sparse Inputs

Seoyoung Lee, Joonseok Lee

Semantic Transfer From Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition

Shan Zhang, Yao Ni, Jinhao Du, Yanxia Liu, Piotr Koniusz

Refine and Redistribute: Multi-Domain Fusion and Dynamic Label Assignment for Unbiased Scene Graph Generation

Yujie Zang, Yaochen Li, Yuan Gao, Yimou Guo, Wenneng Tang

Rethink Cross-Modal Fusion in Weakly-Supervised Audio-Visual Video Parsing

Yating Xu, Conghui Hu, Gim Hee Lee

Harnessing the Power of Multi-Lingual Datasets for Pre-Training: Towards Enhancing Text Spotting Performance

Alloy Das, Sanket Biswas, Ayan Banerjee, Josep Lladós, Umapada Pal

SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer From a Spectral Perspective

Zipeng Xu, Songlong Xing, Enver Sangineto, Nicu Sebe

Efficient Feature Distillation for Zero-Shot Annotation Object Detection

Zhuoming Liu, Xuefeng Hu, Ram Nevatia

Iterative Multi-Granular Image Editing Using Diffusion Models

K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam

Graph(Graph): A Nested Graph-Based Framework for Early Accident Anticipation

Nupur Thakur, PrasanthSai Gouripeddi, baoxin Li

M33D: Learning 3D Priors Using Multi-Modal Masked Autoencoders for 2D Image and Video Understanding

Muhammad Abdullah Jamal, Omid Mohareri

Efficient MAE Towards Large-Scale Vision Transformers

Qiu Han, Gongjie Zhang, Jiaxing Huang, peng gao, Zhang Wei

Active Batch Sampling for Multi-Label Classification With Binary User Feedback

Debanjan Goswami, Shayok Chakraborty

GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo

Vibhas K. Vats, Sripad Joshi, David J. Crandall, Md. Alimoor Reza, Soon-heung Jung

Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble Based Sample Selection

Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora

ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection

Thinh Phan, Khoa Vo, Duy Le, Gianfranco Doretto, Donald Adjeroh

Hard Sample-Aware Consistency for Low-Resolution Facial Expression Recognition

Bokyeung Lee, Kyungdeuk Ko, Jonghwan Hong, Hanseok Ko

Training-Free Content Injection Using H-Space in Diffusion Models

Jaeseok Jeong, Mingi Kwon, Youngjung Uh

MPT: Mesh Pre-Training With Transformers for Human Pose and Mesh Reconstruction

Kevin Lin, Chung-Ching Lin, Lin Liang, Zicheng Liu, Lijuan Wang

Progressive Hypothesis Transformer for 3D Human Mesh Recovery

Huang-Ru Liao, Jen-Chun Lin, Chun-Yi Lee

Asymmetric Image Retrieval With Cross Model Compatible Ensembles

Alon Shoshan, Ori Linial, Nadav Bhonker, Elad Hirsch, Lior Zamir

Learning To Adapt CLIP for Few-Shot Monocular Depth Estimation

Xueting Hu, Ce Zhang, Yi Zhang, Bowen Hai, Ke Yu

FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

Noam Rotstein, David Bensaid, Shaked Brody, Roy Ganz, Ron Kimmel

Continual Test-Time Domain Adaptation via Dynamic Sample Selection

Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal

Discriminator-Free Unsupervised Domain Adaptation for Multi-Label Image Classification

Inder Pal Singh, Enjie Ghorbel, Anis Kacem, Arunkumar Rathinam, Djamila Aouada

CAD - Contextual Multi-Modal Alignment for Dynamic AVQA

Asmar Nadeem, Adrian Hilton, Robert Dawes, Graham Thomas, Armin Mustafa

Edge Inference With Fully Differentiable Quantized Mixed Precision Neural Networks

Clemens Js Schaefer, Siddharth Joshi, Shan Li, Raul Blazquez

Reverse Knowledge Distillation: Training a Large Model Using a Small One for Retinal Image Matching on Limited Data

Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi

Learning the What and How of Annotation in Video Object Segmentation

Thanos Delatolas, Vicky Kalogeiton, Dim P. Papadopoulos

Stereo Matching in Time: 100+ FPS Video Stereo Matching for Extended Reality

Ziang Cheng, Jiayu Yang, Hongdong Li

RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh Classification

Bahareh Shakibajahromi, Edward Kim, David E. Breen

Embedding Task Structure for Action Detection

Michael Peven, Gregory D. Hager

Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining

Haitian He, Sarah Erfani, Mingming Gong, Qiuhong Ke

Training-Free Layout Control With Cross-Attention Guidance

Minghao Chen, Iro Laina, Andrea Vedaldi

Active Transfer Learning for Efficient Video-Specific Human Pose Estimation

Hiromu Taketsugu, Norimichi Ukita

Fast Diffusion EM: A Diffusion Model for Blind Inverse Problems With Application to Deconvolution

Charles Laroche, Andres Almansa, Eva Coupeté

MagneticPillars: Efficient Point Cloud Registration Through Hierarchized Birds-Eye-View Cell Correspondence Refinement

Kai Fischer, Martin Simon, Stefan Milz, Patrick Mader

Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning

Jayateja Kalla, Soma Biswas

BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements

Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu

Reference-Based Restoration of Digitized Analog Videotapes

Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini, Alberto Del Bimbo

Identifying Label Errors in Object Detection Datasets by Loss Inspection

Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen

MAdVerse: A Hierarchical Dataset of Multi-Lingual Ads From Diverse Sources and Categories

Amruth Sagar, Rishabh Srivastava, Rakshitha R. T., Venkata Kesav Venna, Ravi Kiran Sarvadevabhatla

A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping

Hunor Laczkó, Meysam Madadi, Sergio Escalera, Jordi Gonzalez

Deep Optics for Optomechanical Control Policy Design

Justin Fletcher

SSVOD: Semi-Supervised Video Object Detection With Sparse Annotations

Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu

P-Age: Pexels Dataset for Robust Spatio-Temporal Apparent Age Classification

Abid Ali, Ashish Marisetty, francois bremond

Real-Time 6-DoF Pose Estimation by an Event-Based Camera Using Active LED Markers

Gerald Ebmer, Adam Loch, Minh Nhat VU, Roberto Mecca, Germain Haessig

Self-Supervised Learning for Visual Relationship Detection Through Masked Bounding Box Reconstruction

Zacharias Anastasakis, Dimitrios Mallis, Markos Diomataris, George Alexandridis, Stefanos Kollias

Location-Aware Self-Supervised Transformers for Semantic Segmentation

Mathilde Caron, Neil Houlsby, Cordelia Schmid

AssemblyNet: A Point Cloud Dataset and Benchmark for Predicting Part Directions in an Exploded Layout

Jesper Gaarsdal, Joakim Bruslund Haurum, Sune Wolff, Claus Brøndgaard Madsen

Revisiting Token Pruning for Object Detection and Instance Segmentation

Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza

Temporal Context Enhanced Referring Video Object Segmentation

Xiao Hu, Basavaraj Hampiholi, Heiko Neumann, Jochen Lang

Customizing 360-Degree Panoramas Through Text-to-Image Diffusion Models

Hai Wang, Xiaoyu Xiang, Yuchen Fan, Jing-Hao Xue

Interactive Segmentation for Diverse Gesture Types Without Context

Josh Myers-Dean, Yifei Fan, Brian Price, Wilson Chan, Danna Gurari

Learning Residual Elastic Warps for Image Stitching Under Dirichlet Boundary Condition

Minsu Kim, Yongjun Lee, Woo Kyoung Han, Kyong Hwan Jin

Multi-Level Attention Aggregation for Aesthetic Face Relighting

Hemanth Pidaparthy, Abhay Chauhan, Pavan Sudheendra

DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction

Fangchen Yu, Yina Xie, Lei Wu, Yafei Wen, Guozhi Wang

ShARc: Shape and Appearance Recognition for Person Identification In-the-Wild

Haidong Zhu, Wanrong Zheng, Zhaoheng Zheng, Ram Nevatia

A Visual Active Search Framework for Geospatial Exploration

Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett

Let the Beat Follow You - Creating Interactive Drum Sounds From Body Rhythm

Xiulong Liu, Kun Su, Eli Shlizerman