CVPR 2024

2,716 papers

EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling

Rui Jiang, Fangwen Tu, Yixuan Long, Aabhaas Vaish, Bowen Zhou

Time-Efficient Light-Field Acquisition Using Coded Aperture and Events

Shuji Habuchi, Keita Takahashi, Chihiro Tsutake, Toshiaki Fujii, Hajime Nagahara

Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation

Ruicong Liu, Takehiko Ohkawa, Mingfang Zhang, Yoichi Sato

Mask Grounding for Referring Image Segmentation

Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang

On the Estimation of Image-matching Uncertainty in Visual Place Recognition

Mubariz Zaffar, Liangliang Nan, Julian F. P. Kooij

Can't Make an Omelette Without Breaking Some Eggs: Plausible Action Anticipation Using Large Video-Language Models

Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee

FreeKD: Knowledge Distillation via Semantic Frequency Prompt

yuan zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng

Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor Scenes

Xiaotian Sun, Qingshan Xu, Xinjie Yang, Yu Zang, Cheng Wang

Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos

Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari

Relightable Gaussian Codec Avatars

Shunsuke Saito, Gabriel Schwartz, Tomas Simon, Junxuan Li, Giljoo Nam

Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models

Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models

Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz

Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline

Yu Chen, Fei Gao, Yanguang Zhang, Maoying Qiao, Nannan Wang

SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model

Inhwan Bae, Young-Jae Park, Hae-Gon Jeon

Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation

Jin Wang, Bingfeng Zhang, Jian Pang, Honglong Chen, Weifeng Liu

Unsupervised Universal Image Segmentation

Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig

An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains

George Eskandar

Digital Life Project: Autonomous 3D Characters with Social Intelligence

Zhongang Cai, Jianping Jiang, Zhongfei Qing, Xinying Guo, Mingyuan Zhang

AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation

Taeckyung Lee, Sorn Chottananurak, Taesik Gong, Sung-Ju Lee

Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users

Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson

Dynamic LiDAR Re-simulation using Compositional Neural Fields

Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler

Generalizable Novel-View Synthesis using a Stereo Camera

Haechan Lee, Wonjoon Jin, Seung-Hwan Baek, Sunghyun Cho

Sieve: Multimodal Dataset Pruning using Image Captioning Models

Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani

You Only Need Less Attention at Each Stage in Vision Transformers

Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture

Juanwu Lu, Can Cui, Yunsheng Ma, Aniket Bera, Ziran Wang

A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability

Xu Yang, Xuan Chen, Moqi Li, Kun Wei, Cheng Deng

One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models

Lin Li, Haoyan Guan, Jianing Qiu, Michael Spratling

Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth

Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen, Yi Rong

MonoHair: High-Fidelity Hair Modeling from a Monocular Video

Keyu Wu, Lingchen Yang, Zhiyi Kuang, Yao Feng, Xutao Han

VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation

Yang Chen, Yingwei Pan, Haibo Yang, Ting Yao, Tao Mei

3D-LFM: Lifting Foundation Model

Mosam Dabhi, László A. Jeni, Simon Lucey

Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation

Song Wang, Jiawei Yu, Wentong Li, Wenyu Liu, Xiaolu Liu

SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos

Changan Chen, Kumar Ashutosh, Rohit Girdhar, David Harwath, Kristen Grauman

On the Robustness of Large Multimodal Models Against Image Adversarial Attacks

Xuanming Cui, Alejandro Aparcedo, Young Kyun Jang, Ser-Nam Lim

SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation

Yanjie Wang, Xu Zou, Luxin Yan, Sheng Zhong, Jiahuan Zhou

HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud

Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko

ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing

Jun-Kun Chen, Samuel Rota Bulò, Norman Müller, Lorenzo Porzi, Peter Kontschieder

JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation

Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang

Pixel-Aligned Language Model

Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab

Link-Context Learning for Multimodal LLMs

Yan Tai, Weichen Fan, Zhao Zhang, Ziwei Liu

Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment

Angchi Xu, Wei-Shi Zheng

The Devil is in the Fine-Grained Details: Evaluating Open-Vocabulary Object Detectors for Fine-Grained Understanding

Lorenzo Bianchi, Fabio Carrara, Nicola Messina, Claudio Gennaro, Fabrizio Falchi

High-fidelity Person-centric Subject-to-Image Synthesis

Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin

Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching

Shreyas Fadnavis, Agniva Chowdhury, Joshua Batson, Petros Drineas, Eleftherios Garyfallidis

Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration

Hong Chen, Pei Yan, Sihe Xiang, Yihua Tan

EFHQ: Multi-purpose ExtremePose-Face-HQ dataset

Trung Tuan Dao, Duc Hong Vu, Cuong Pham, Anh Tran

Language-only Training of Zero-shot Composed Image Retrieval

Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models

Gianni Franchi, Olivier Laurent, Maxence Leguery, Andrei Bursuc, Andrea Pilzer

Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World

Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng

Deep Generative Model based Rate-Distortion for Image Downscaling Assessment

Yuanbang Liang, Bhavesh Garg, Paul Rosin, Yipeng Qin

Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation

Haifeng Xia, Siyu Xia, Zhengming Ding

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion

Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss

PEEKABOO: Interactive Video Generation via Masked-Diffusion

Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl

Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation

Renshuai Liu, Bowen Ma, Wei Zhang, ZHIPENG HU, Changjie Fan

DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking

Fei Xie, Zhongdao Wang, Chao Ma

Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion.

Weijian Ma, Shuaiqi Chen, Yunzhong Lou, Xueyang Li, Xiangdong Zhou

Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis

Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jiaolong Yang, Seungryong Kim

Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion

Zixian Gao, Xun Jiang, Xing Xu, Fumin Shen, Yujie Li

LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging

Haoyang Ge, Qiao Feng, Hailong Jia, Xiongzheng Li, Xiangjun Yin

NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows

Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay

Self-Calibrating Vicinal Risk Minimisation for Model Calibration

Jiawei Liu, Changkun Ye, Ruikai Cui, Nick Barnes

DreamComposer: Controllable 3D Object Generation via Multi-View Conditions

Yunhan Yang, Yukun Huang, Xiaoyang Wu, Yuan-Chen Guo, Song-Hai Zhang

Volumetric Environment Representation for Vision-Language Navigation

Rui Liu, Wenguan Wang, Yi Yang

OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Qidong Huang, Xiaoyi Dong, Pan Zhang, Bin Wang, Conghui He

Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models

Pablo Marcos-Manchón, Roberto Alcover-Couso, Juan C. SanMiguel, José M. Martínez

GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Taoran Yi, Jiemin Fang, Junjie Wang, Guanjun Wu, Lingxi Xie

Self-Supervised Facial Representation Learning with Facial Region Awareness

Zheng Gao, Ioannis Patras

CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models

Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag

JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments

Duy Tho Le, Chenhui Gou, Stavya Datta, Hengcan Shi, Ian Reid

CNC-Net: Self-Supervised Learning for CNC Machining Operations

Mohsen Yavartanoo, Sangmin Hong, Reyhaneh Neshatavar, Kyoung Mu Lee

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models

Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu

ReCoRe: Regularized Contrastive Representation Learning of World Model

Rudra P.K. Poudel, Harit Pandya, Stephan Liwicki, Roberto Cipolla

SuperPrimitive: Scene Reconstruction at a Primitive Level

Kirill Mazur, Gwangbin Bae, Andrew J. Davison

Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds

Heejoon Moon, Chunghwan Lee, Je Hyeong Hong

Rethinking FID: Towards a Better Evaluation Metric for Image Generation

Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti

SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction

Yuan Li, Zhihao Liu, Bedrich Benes, XIAOPENG ZHANG, Jianwei Guo

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples

Phillip Howard, Avinash Madasu, Tiep Le, Gustavo Lujan Moreno, Anahita Bhiwandiwalla

SeD: Semantic-Aware Discriminator for Image Super-Resolution

Bingchen Li, Xin Li, Hanxin Zhu, Yeying Jin, Ruoyu Feng

UniPAD: A Universal Pre-training Paradigm for Autonomous Driving

Honghui Yang, Sha Zhang, Di Huang, Xiaoyang Wu, Haoyi Zhu

Consistent Prompting for Rehearsal-Free Continual Learning

Zhanxin Gao, Jun CEN, Xiaobin Chang

Diffusion-based Blind Text Image Super-Resolution

Yuzhe Zhang, Jiawei Zhang, Hao Li, Zhouxia Wang, Luwei Hou

HDQMF: Holographic Feature Decomposition Using Quantum Algorithms

Prathyush Prasanth Poduval, Zhuowen Zou, Mohsen Imani

Improving Distant 3D Object Detection Using 2D Box Supervision

Zetong Yang, Zhiding Yu, Chris Choy, Renhao Wang, Anima Anandkumar

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning

Yixiong Zou, Yicong Liu, Yiman Hu, Yuhua Li, Ruixuan Li

Resolution Limit of Single-Photon LiDAR

Stanley H. Chan, Hashan K. Weerasooriya, Weijian Zhang, Pamela Abshire, Istvan Gyongy

Unsupervised Keypoints from Pretrained Diffusion Models

Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack

Self-Supervised Multi-Object Tracking with Path Consistency

Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo

DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun

Discontinuity-preserving Normal Integration with Auxiliary Edges

Hyomin Kim, Yucheol Jung, Seungyong Lee

Detours for Navigating Instructional Videos

Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman

Polos: Multimodal Metric Learning from Human Feedback for Image Captioning

Yuiga Wada, Kanta Kaneda, Daichi Saito, Komei Sugiura

Permutation Equivariance of Transformers and Its Applications

Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Rongyuan Wu, Tao Yang, Lingchen Sun, Zhengqiang Zhang, Shuai Li

DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans

Akash Sengupta, Thiemo Alldieck, Nikos Kolotouros, Enric Corona, Andrei Zanfir

RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses

Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas

Can I Trust Your Answer? Visually Grounded Video Question Answering

Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua

Bridging Remote Sensors with Multisensor Geospatial Foundation Models

Boran Han, SHUAI ZHANG, Xingjian SHI, Markus Reichstein

MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading

Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amin Fadaeinejad

SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting

Zhijing Shao, Zhaolong Wang, Zhuang Li, Duotun Wang, Xiangru Lin

Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs

Hugh Blayney, Hanlin Tian, Hamish Scott, Nils Goldbeck, Chess Stetson