WACV 2023

639 papers

X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360deg Insufficient RGB-D Views

Haoyi Zhu

Leveraging Off-the-Shelf Diffusion Model for Multi-Attribute Fashion Image Manipulation

Chaerin Kong, DongHyeon Jeon, Ohjoon Kwon, Nojun Kwak

EventPoint: Self-Supervised Interest Point Detection and Description for Event-Based Camera

Ze Huang, Li Sun, Cheng Zhao, Song Li, Songzhi Su

DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations

Joshua Peters, Leo Lebrat, Rodrigo Santa Cruz, Aaron Nicolson, Gregg Belous

Vision Transformer for NeRF-Based View Synthesis From a Single Input Image

Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih

DRAMA: Joint Risk Localization and Captioning in Driving

Srikanth Malla, Chiho Choi, Isht Dwivedi, Joon Hee Choi, Jiachen Li

Weakly Supervised Cell-Instance Segmentation With Two Types of Weak Labels by Single Instance Pasting

Kazuya Nishimura, Ryoma Bise

Towards Interpretable Video Anomaly Detection

Keval Doshi, Yasin Yilmaz

VirtualHome Action Genome: A Simulated Spatio-Temporal Scene Graph Dataset With Consistent Relationship Labels

Yue Qiu, Yoshiki Nagasaki, Kensho Hara, Hirokatsu Kataoka, Ryota Suzuki

K-VQG: Knowledge-Aware Visual Question Generation for Common-Sense Acquisition

Kohei Uehara, Tatsuya Harada

Multi-View Photometric Stereo Revisited

Berk Kaya, Suryansh Kumar, Carlos Oliveira, Vittorio Ferrari, Luc Van Gool

Dense but Efficient VideoQA for Intricate Compositional Reasoning

Jihyeon Lee, Wooyoung Kang, Eun-Sol Kim

Diffeomorphic Image Registration With Neural Velocity Field

Kun Han, Shanlin Sun, Xiangyi Yan, Chenyu You, Hao Tang

Unsupervised Audio-Visual Lecture Segmentation

Darshan Singh S., Anchit Gupta, C. V. Jawahar, Makarand Tapaswi

Zero-Shot Versus Many-Shot: Unsupervised Texture Anomaly Detection

Toshimichi Aota, Lloyd Teh Tzer Tong, Takayuki Okatani

ML-Decoder: Scalable and Versatile Classification Head

Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben-Baruch, Asaf Noy

Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation

Heejo Kong, Gun-Hee Lee, Suneung Kim, Seong-Whan Lee

AttTrack: Online Deep Attention Transfer for Multi-Object Tracking

Keivan Nalaie, Rong Zheng

Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training

Saehyung Lee, HyunGyu Lee

Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition

Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey

Federated Learning for Commercial Image Sources

Shreyansh Jain, Koteswar Rao Jerripothula

MFFN: Multi-View Feature Fusion Network for Camouflaged Object Detection

Dehua Zheng, Xiaochen Zheng, Laurence T. Yang, Yuan Gao, Chenlu Zhu

Heightfields for Efficient Scene Reconstruction for AR

Jamie Watson, Sara Vicente, Oisin Mac Aodha, Clement Godard, Gabriel Brostow

PP4AV: A Benchmarking Dataset for Privacy-Preserving Autonomous Driving

Linh Trinh, Phuong Pham, Hoang Trinh, Nguyen Bach, Dung Nguyen

Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection

Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O’Connor, Kevin McGuinness

Bi-Directional Frame Interpolation for Unsupervised Video Anomaly Detection

Hanqiu Deng, Zhaoxiang Zhang, Shihao Zou, Xingyu Li

Kernel-Aware Burst Blind Super-Resolution

Wenyi Lian, Shanglian Peng

The Change You Want To See

Ragav Sachdeva, Andrew Zisserman

AFPSNet: Multi-Class Part Parsing Based on Scaled Attention and Feature Fusion

Njuod Alsudays, Jing Wu, Yu-Kun Lai, Ze Ji

Real-Time Concealed Weapon Detection on 3D Radar Images for Walk-Through Screening System

Nagma S. Khan, Kazumine Ogura, Eric Cosatto, Masayuki Ariyoshi

Semantics Guided Contrastive Learning of Transformers for Zero-Shot Temporal Activity Detection

Sayak Nag, Orpaz Goldstein, Amit K. Roy-Chowdhury

OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping

Junshi Xia, Naoto Yokoya, Bruno Adriano, Clifford Broni-Bediako

Feature Disentanglement Learning With Switching and Aggregation for Video-Based Person Re-Identification

Minjung Kim, MyeongAh Cho, Sangyoun Lee

VLC-BERT: Visual Question Answering With Contextualized Commonsense Knowledge

Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz

Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods for Semantic Segmentation in the Wild

Fabrizio J. Piva, Daan de Geus, Gijs Dubbelman

Misclassifications of Contact Lens Iris PAD Algorithms: Is It Gender Bias or Environmental Conditions?

Akshay Agarwal, Nalini Ratha, Afzel Noore, Richa Singh, Mayank Vatsa

AVE-CLIP: AudioCLIP-Based Multi-Window Temporal Transformer for Audio Visual Event Localization

Tanvir Mahmud, Diana Marculescu

SERF: Towards Better Training of Deep Neural Networks Using Log-Softplus ERror Activation Function

Sayan Nag, Mayukh Bhattacharyya, Anuraag Mukherjee, Rohit Kundu

Large-to-Small Image Resolution Asymmetry in Deep Metric Learning

Pavel Suma, Giorgos Tolias

Meta-Auxiliary Learning for Future Depth Prediction in Videos

Huan Liu, Zhixiang Chi, Yuanhao Yu, Yang Wang, Jun Chen

Temporal Feature Enhancement Dilated Convolution Network for Weakly-Supervised Temporal Action Localization

Jianxiong Zhou, Ying Wu

CoNMix for Source-Free Single and Multi-Target Domain Adaptation

Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty

IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes

Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar

TeST: Test-Time Self-Training Under Distribution Shift

Samarth Sinha, Peter Gehler, Francesco Locatello, Bernt Schiele

Cross-Domain Video Anomaly Detection Without Target Domain Adaptation

Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury

Do Pre-Trained Models Benefit Equally in Continual Learning?

Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang

Multi-Level Contrastive Learning for Self-Supervised Vision Transformers

Shentong Mo, Zhun Sun, CHAO LI

SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search

Zhewen Yu, Christos-Savvas Bouganis

Graph-Based Self-Learning for Robust Person Re-Identification

Yuqiao Xian, Jinrui Yang, Fufu Yu, Jun Zhang, Xing Sun

Exploiting Instance-Based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-Adaptive Action Detection

Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool

Towards Disturbance-Free Visual Mobile Manipulation

Tianwei Ni, Kiana Ehsani, Luca Weihs, Jordi Salvador

Relaxing Contrastiveness in Multimodal Representation Learning

Zudi Lin, Erhan Bas, Kunwar Yashraj Singh, Gurumurthy Swaminathan, Rahul Bhotika

Modality Mixer for Multi-Modal Action Recognition

Sumin Lee, Sangmin Woo, Yeonju Park, Muhammad Adi Nugroho, Changick Kim

Towards MOOCs for Lipreading: Using Synthetic Talking Heads To Train Humans in Lipreading at Scale

Aditya Agarwal, Bipasha Sen, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar

Far3Det: Towards Far-Field 3D Detection

Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays

Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation

Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition

Sofia Broome, Ernest Pokropek, Boyu Li, Hedvig Kjellström

Fine-Grained Activities of People Worldwide

Jeffrey Byrne, Gregory Castañón, Zhongheng Li, Gil Ettinger

LAB: Learnable Activation Binarizer for Binary Neural Networks

Sieger Falkena, Hadi Jamali-Rad, Jan van Gemert

AdvisIL - A Class-Incremental Learning Advisor

Eva Feillet, Grégoire Petit, Adrian Popescu, Marina Reyboz, Celine Hudelot

PointInverter: Point Cloud Reconstruction and Editing via a Generative Model With Shape Priors

Jaeyeon Kim, Binh-Son Hua, Thanh Nguyen, Sai-Kit Yeung

Efficient Skeleton-Based Action Recognition via Joint-Mapping Strategies

Min-Seok Kang, Dongoh Kang, Hansaem Kim

Composite Learning for Robust and Effective Dense Predictions

Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool

Self-Distilled Self-Supervised Representation Learning

Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim

Self-Attentive Pooling for Efficient Deep Learning

Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel

HOOT: Heavy Occlusions in Object Tracking Benchmark

Gözde Şahin, Laurent Itti

Robust Real-World Image Enhancement Based on Multi-Exposure LDR Images

Haoyu Ren, Yi Fan, Stephen Huang

Pushing the Efficiency Limit Using Structured Sparse Convolutions

Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin

Progressive Video Summarization via Multimodal Self-Supervised Learning

Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond

Deep Model-Based Super-Resolution With Non-Uniform Blur

Charles Laroche, Andres Almansa, Matias Tassano

DDNeRF: Depth Distribution Neural Radiance Fields

David Dadon, Ohad Fried, Yacov Hel-Or

FUSSL: Fuzzy Uncertain Self Supervised Learning

Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh

Multimodal Multi-Head Convolutional Attention With Various Kernel Sizes for Medical Image Super-Resolution

Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Cătălin Ristea

ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection

Rebbapragada V. C. Sairam, Monish Keswani, Uttaran Sinha, Nishit Shah, Vineeth N. Balasubramanian

Spatial Consistency Loss for Training Multi-Label Classifiers From Single-Label Annotations

Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars, Maxim Berman

Fine-Context Shadow Detection Using Shadow Removal

Jeya Maria Jose Valanarasu, Vishal M. Patel

LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time

Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi

Visualizing Global Explanations of Point Cloud DNNs

Hanxiao Tan

Medical Image Segmentation via Cascaded Attention Decoding

Md Mostafijur Rahman, Radu Marculescu

Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation

Boon Peng Yap, Beng Koon Ng

InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images

Konstantin Kobs, Michael Steininger, Andreas Hotho

Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging

Ke Li, Dengxin Dai, Luc Van Gool

Ev-NeRF: Event Based Neural Radiance Field

Inwoo Hwang, Junho Kim, Young Min Kim

nLMVS-Net: Deep Non-Lambertian Multi-View Stereo

Kohei Yamashita, Yuto Enyo, Shohei Nobuhara, Ko Nishino

What Can We Learn by Predicting Accuracy?

Olivier Risser-Maroix, Benjamin Chamand

Towards Online Domain Adaptive Object Detection

Vibashan VS, Poojan Oza, Vishal M. Patel

Spatially Multi-Conditional Image Generation

Nikola Popovic, Ritika Chakraborty, Danda Pani Paudel, Thomas Probst, Luc Van Gool

Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization

Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara

Wavelength-Aware 2D Convolutions for Hyperspectral Imaging

Leon Amadeus Varga, Martin Messmer, Nuri Benbarka, Andreas Zell

MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-Aware Video Panoptic Segmentation

Andra Petrovai, Sergiu Nedevschi

Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li

Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance

Fariborz Taherkhani, Aashish Rai, Quankai Gao, Shaunak Srivastava, Xuanbai Chen

PRN: Panoptic Refinement Network

Bo Sun, Jason Kuen, Zhe Lin, Philippos Mordohai, Simon Chen

Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks

Abhishek Aich, Shasha Li, Chengyu Song, M. Salman Asif, Srikanth V. Krishnamurthy

Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

Sutanu Bera, Prabir Kumar Biswas

Hard To Track Objects With Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space

Fan Yang, Shigeyuki Odashima, Shoichi Masui, Shan Jiang

CellTranspose: Few-Shot Domain Adaptation for Cellular Instance Segmentation

Matthew R. Keaton, Ram J. Zaveri, Gianfranco Doretto

SSSD: Self-Supervised Self Distillation

Wei-Chi Chen, Wei-Ta Chu

LayerDoc: Layer-Wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents

Puneet Mathur, Rajiv Jain, Ashutosh Mehra, Jiuxiang Gu, Franck Dernoncourt

Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors

Karim Guirguis, Mohamed Abdelsamad, George Eskandar, Ahmed Hendawy, Matthias Kayser