Most Cited 2024 "distance geometry" Papers

Neural Clustering based Visual Representation Learning

Guikun Chen, Xia Li, Yi Yang et al.

Data-Free Generalized Zero-Shot Learning

Bowen Tang, Jing Zhang, Yan Long et al.

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation

Yunhao Ge, Yihe Tang, Jiashu Xu et al.

LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation

Ruida Zhang, Ziqin Huang, Gu Wang et al.

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments

Liyuan Zhu, Shengyu Huang, Konrad Schindler et al.

HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance

Guian Fang, Wenbiao Yan, Yuanfan Guo et al.

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

Chris Cundy, Stefano Ermon

PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation

Lei Shen, Jianlong Jin, Ruixin Zhang et al.

SUMix: Mixup with Semantic and Uncertain Information

Huafeng Qin, Xin Jin, Hongyu Zhu et al.

Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks

Rahul Ramesh, Ekdeep Singh Lubana, Mikail Khona et al.

A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks

Zhe Zhao, Pengkun Wang, HaiBin Wen et al.

Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation

Ilhoon Yoon, Hyeongjun Kwon, Jin Kim et al.

ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

Zhicheng Zheng, Xin Yan, Zhenfang Chen et al.

Transformers can optimally learn regression mixture models

Reese Pathak, Rajat Sen, Weihao Kong et al.

VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning

Tangfei Liao, Xiaoqin Zhang, Li Zhao et al.

Generative Unlearning for Any Identity

Juwon Seo, Sung-Hoon Lee, Tae-Young Lee et al.

Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners

Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen et al.

TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation

Yufei Liu, Junwei Zhu, Junshu Tang et al.

Tri-Modal Motion Retrieval by Learning a Joint Embedding Space

Kangning Yin, Shihao Zou, Yuxuan Ge et al.

Chain of Log-Concave Markov Chains

Saeed Saremi, Ji Won Park, Francis Bach

DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding

Jincen Jiang, Qianyu Zhou, Yuhang Li et al.

Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models

Ashutosh Baheti, Ximing Lu, Faeze Brahman et al.

UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection

Yingsen Zeng, Yujie Zhong, Chengjian Feng et al.

Partial-to-Partial Shape Matching with Geometric Consistency

Viktoria Ehm, Maolin Gao, Paul Roetzer et al.

Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge

Dongjin Kim, Sung Jin Um, Sangmin Lee et al.

PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs

Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek et al.

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos

JIEWEN YANG, Yiqun Lin, Bin Pu et al.

HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning

Shengchao Hu, Ziqing Fan, Li Shen et al.

Language Models as Science Tutors

Alexis Chevalier, Jiayi Geng, Alexander Wettig et al.

Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI

Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar

Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos

Remy Sabathier, David Novotny, Niloy Mitra

Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery

Haiyang Zheng, Pu Nan, Wenjing Li et al.

Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video

Zhaobo Qi, Yibo Yuan, Xiaowen Ruan et al.

Prediction-powered Generalization of Causal Inferences

Ilker Demirel, Ahmed Alaa, Anthony Philippakis et al.

Predictive auxiliary objectives in deep RL mimic learning in the brain

Ching Fang, Kimberly Stachenfeld

Linear Explanations for Individual Neurons

Tuomas Oikarinen, Lily Weng

Aligner$^2$: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment

Zhihong Zhu, Xuxin Cheng, Yaowei Li et al.

DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans

Akash Sengupta, Thiemo Alldieck, NIKOS KOLOTOUROS et al.

LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model

Runhui Huang, Kaixin Cai, Jianhua Han et al.

HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models

Yifan Yang, Dong Liu, Shuhai Zhang et al.

RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design

Cheng Tan, Yijie Zhang, Zhangyang Gao et al.

Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition

Yijie Wang, Mingjian Hong, Luwen Huangfu et al.

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes

Myeongseob Ko, Feiyang Kang, Weiyan Shi et al.

Get an A in Math: Progressive Rectification Prompting

Zhenyu Wu, Meng Jiang, Chao Shen

Structural Information Enhanced Graph Representation for Link Prediction

Lei Shi, Bin Hu, Deng Zhao et al.

Event Camera Data Dense Pre-training

Yan Yang, Liyuan Pan, Liu liu

Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design

Quan Nguyen, Adji Bousso Dieng

Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation

Qiushi Zhu, Jie Zhang, Yu Gu et al.

Instance-Aware Group Quantization for Vision Transformers

Jaehyeon Moon, Dohyung Kim, Jun Yong Cheon et al.

PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery

Jicheol Park, Dongwon Kim, Boseung Jeong et al.

FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

Junhyuk So, Jungwon Lee, Eunhyeok Park

NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs

Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc et al.

VFLAIR: A Research Library and Benchmark for Vertical Federated Learning

TIANYUAN ZOU, Zixuan GU, Yu He et al.

A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization

Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar et al.

SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields

Quentin HERAU, Nathan Piasco, Moussab Bennehar et al.

How Interpretable Are Interpretable Graph Neural Networks?

Yongqiang Chen, Yatao Bian, Bo Han et al.

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning

Weilin Chen, Ruichu Cai, Zeqin Yang et al.

Learning MDL Logic Programs from Noisy Data

Céline Hocquette, Andreas Niskanen, Matti Järvisalo et al.

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

Bo Zhang, Xinyu Cai, Jiakang Yuan et al.

Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation

Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon

Cyclic Learning for Binaural Audio Generation and Localization

Zhaojian Li, Bin Zhao, Yuan Yuan

LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes

Shanlin Sun, Bingbing Zhuang, Ziyu Jiang et al.

Order-Preserving GFlowNets

Yihang Chen, Lukas Mauch

BatchPrompt: Accomplish more with less

Jianzhe Lin, Maurice Diesendruck, Liang Du et al.

Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods

Mingqi Jiang, Saeed Khorram, Li Fuxin

Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation

Zhanfeng Liao, Yan Liu, Qian Zheng et al.

Continual Segmentation with Disentangled Objectness Learning and Class Recognition

Yizheng Gong, Siyue Yu, Xiaoyang Wang et al.

Binding-Adaptive Diffusion Models for Structure-Based Drug Design

HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts

Wonjae Kim, Sanghyuk Chun, Taekyung Kim et al.

Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization

Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan et al.

Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting

Yanhong Li, Jack Xu, David Anastasiu

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception

Wanfang Su, Lixing Chen, Yang Bai et al.

Semi-supervised Open-World Object Detection

Sahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer et al.

ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field

Zhangkai Ni, Peiqi Yang, Wenhan Yang et al.

Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization

Elan Rosenfeld, Andrej Risteski

Optimal Sample Complexity for Average Reward Markov Decision Processes

Shengbo Wang, Jose Blanchet, Peter Glynn

AMD: Automatic Multi-step Distillation of Large-scale Vision Models

Cheng Han, Qifan Wang, Sohail A Dianat et al.

Refining Minimax Regret for Unsupervised Environment Design

Michael Beukman, Samuel Coward, Michael Matthews et al.

Query-Policy Misalignment in Preference-Based Reinforcement Learning

Xiao Hu, Jianxiong Li, Xianyuan Zhan et al.

Open Panoramic Segmentation

Junwei Zheng, Ruiping Liu, Yufan Chen et al.

Efficient Vision-Language Pre-training by Cluster Masking

Zihao Wei, Zixuan Pan, Andrew Owens

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models

Weiwei Cao, Jianpeng Zhang, Yingda Xia et al.

FoSp: Focus and Separation Network for Early Smoke Segmentation

Lujian Yao, Haitao Zhao, Jingchao Peng et al.

Graph2Tac: Online Representation Learning of Formal Math Concepts

Lasse Blaauwbroek, Mirek Olšák, Jason Rute et al.

Deep Hierarchical Video Compression

Ming Lu, Zhihao Duan, Fengqing Zhu et al.

GOAt: Explaining Graph Neural Networks via Graph Output Attribution

Shengyao Lu, Keith G Mills, Jiao He et al.

AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation

Yangchao Wu, Tian Yu Liu, Hyoungseob Park et al.

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance

Yu Wang, Tong Zhao, Yuying Zhao et al.

MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation

Yuelong Li, Yafei Mao, Raja Bala et al.

RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation

Jiawei Zhou, Linye Lyu, Daojing He et al.

A Restoration Network as an Implicit Prior

Yuyang Hu, Mauricio Delbracio, Peyman Milanfar et al.

Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance

Reyhane Askari Hemmat, Melissa Hall, Alicia Yi Sun et al.

Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes

Chi-Hsi Kung, 書緯 呂, Yi-Hsuan Tsai et al.

JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling

Jingyang Zhang, Shiwei Li, Yuanxun Lu et al.

Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers

Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain et al.

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis

Authors: Zihao Zhao, Sheng Wang, Qian Wang et al.

Regroup Median Loss for Combating Label Noise

Authors: Fengpeng Li, Kemou Li, Jinyu Tian et al.

What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs

Alex Trevithick, Matthew Chan, Towaki Takikawa et al.

Are Human-generated Demonstrations Necessary for In-context Learning?

Rui Li, Guoyin Wang, Jiwei Li

MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models

Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal Patel

Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms

Joren Brunekreef, Eric Marcus, Ray Sheombarsing et al.

Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection

Xun Huang, Hai Wu, Xin Li et al.

DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching

Shuzhe Wang, Juho Kannala, Daniel Barath

TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes

Xuying Zhang, Bo-Wen Yin, yuming chen et al.

Bidirectional Autoregessive Diffusion Model for Dance Generation

Canyu Zhang, Youbao Tang, NING Zhang et al.

OmniMotionGPT: Animal Motion Generation with Limited Data

Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan et al.

Knowledge-enhanced Visual-Language Pretraining for Computational Pathology

Xiao Zhou, Xiaoman Zhang, Chaoyi Wu et al.

BiPer: Binary Neural Networks using a Periodic Function

Edwin Vargas, Claudia Correa, Carlos Hinojosa et al.

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data

Chengxiang Fan, Muzhi Zhu, Hao Chen et al.

PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild

Kun Yuan, Hongbo Liu, Mading Li et al.

Graph Distillation with Eigenbasis Matching

Yang Liu, Deyu Bo, Chuan Shi

A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing

Li Maomao, Yu Li, Tianyu Yang et al.

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.

Temporal Event Stereo via Joint Learning with Stereoscopic Flow

Hoonhee Cho, Jae-young Kang, Kuk-Jin Yoon

Faceptor: A Generalist Model for Face Perception

Lixiong Qin, Mei Wang, Xuannan Liu et al.

Instant 3D Human Avatar Generation using Image Diffusion Models

Nikos Kolotouros, Thiemo Alldieck, Enric Corona et al.

JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups

Simindokht Jahangard, Zhixi Cai, Shiki Wen et al.

GenesisTex: Adapting Image Denoising Diffusion to Texture Space

Chenjian Gao, Boyan Jiang, Xinghui Li et al.

Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation

Xiaoyang Chen, Hao Zheng, Yuemeng LI et al.

Towards efficient deep spiking neural networks construction with spiking activity based pruning

Yaxin Li, Qi Xu, Jiangrong Shen et al.

Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation

Ruoyu Wang, Yongqi Yang, Zhihao Qian et al.

Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection

BA KHANH TRINH LE, Huy-Hung Nguyen, Long Hoang Pham et al.

Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps

Jordao Bragantini, Merlin Lange, Loïc A Royer

PixOOD: Pixel-Level Out-of-Distribution Detection

Tomas Vojir, Jan Sochman, Jiri Matas

ManiFPT: Defining and Analyzing Fingerprints of Generative Models

Hae Jin Song, Mahyar Khayatkhoei, Wael AbdAlmageed

Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning

Bolun Zheng, Li Haoran, Quan Chen et al.

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models

Hao Cheng, Erjia Xiao, Jindong Gu et al.

EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting

Jiaxu Wang, Junhao He, Ziyi Zhang et al.

On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods

Montgomery Bohde, Meng Liu, Alexandra Saxton et al.

Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification

Jiancheng Zhang, Haijin Zeng, Yongyong Chen et al.

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion

Yuguang Yan, Yuanlin Chen, Shibo Wang et al.

Q-Probe: A Lightweight Approach to Reward Maximization for Language Models

Kenneth Li, Samy Jelassi, Hugh Zhang et al.

MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints

Pengfei Xie, Wenqiang Xu, Tutian Tang et al.

Complementing Event Streams and RGB Frames for Hand Mesh Reconstruction

Jianping Jiang, xinyu zhou, Bingxuan Wang et al.

A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?

Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund

Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos

Seoha Kim, Jeongmin Bae, Youngsik Yun et al.

Unit Selection with Nonbinary Treatment and Effect

Ang Li, Judea Pearl

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints

Xiaobo Xia, Jiale Liu, Shaokun Zhang et al.

Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift

Jiawei Ge, Shange Tang, Jianqing Fan et al.

Learning to Make Adherence-aware Advice

Guanting Chen, Xiaocheng Li, Chunlin Sun et al.

UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets

Youngju Na, Woo Jae Kim, Kyu Han et al.

Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design

Leo Klarner, Tim G. J. Rudner, Garrett Morris et al.

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts

Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess et al.

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation

Yaofo Chen, Shuaicheng Niu, Yaowei Wang et al.

Memory-Consistent Neural Networks for Imitation Learning

Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman et al.

Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics

Lanlan Chen, Kai Wu, Jian Lou et al.

GenN2N: Generative NeRF2NeRF Translation

Xiangyue Liu, Han Xue, Kunming Luo et al.

Borda Regret Minimization for Generalized Linear Dueling Bandits

Yue Wu, Tao Jin, Qiwei Di et al.

ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling

Kangjie Zheng, Siyu Long, Tianyu Lu et al.

MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis

Luyuan Xie, Manqing Lin, Tianyu Luan et al.

Just a Hint: Point-Supervised Camouflaged Object Detection

Huafeng Chen, Dian SHAO, Guangqian Guo et al.

EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head

Qianyun He, Xinya Ji, Yicheng Gong et al.

Tensorized Label Learning on Anchor Graph

Jing Li, Quanxue Gao, Qianqian Wang et al.

Visual Text Generation in the Wild

Yuanzhi Zhu, Jiawei Liu, Feiyu Gao et al.

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression

Jinming Liu, Ruoyu Feng, Yunpeng Qi et al.

Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations

Renzhe Zhou, Chen-Xiao Gao, Zongzhang Zhang et al.

Misalignment-Robust Frequency Distribution Loss for Image Transformation

Zhangkai Ni, Juncheng Wu, Zian Wang et al.

Protein Multimer Structure Prediction via Prompt Learning

Ziqi Gao, Xiangguo SUN, Zijing Liu et al.

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

Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got et al.

Learning to Learn Better Visual Prompts

Fengxiang Wang, Wanrong Huang, Shaowu Yang et al.

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning

Chaoqun Du, Yizeng Han, Gao Huang

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition

Shikai Fang, Qingsong Wen, Yingtao Luo et al.

Event-Adapted Video Super-Resolution

Zeyu Xiao, Dachun Kai, Yueyi Zhang et al.

USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation

Xiaoqi Wang, Wenbin He, Xiwei Xuan et al.

Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation

Jinfeng Liu, Lingtong Kong, Bo Li et al.

General and Task-Oriented Video Segmentation

Mu Chen, Liulei Li, Wenguan Wang et al.

Learning Dense Correspondence for NeRF-Based Face Reenactment

Songlin Yang, Wei Wang, Yushi Lan et al.

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling

Hong Wang, Zhongkai Hao, Jie Wang et al.

Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation

Zhaofan Zhang, Yanan Xiao, Lu Jiang et al.

Memory-based Adapters for Online 3D Scene Perception

Xiuwei Xu, Chong Xia, Ziwei Wang et al.

On The Complexity of First-Order Methods in Stochastic Bilevel Optimization

Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu

MERGE: Fast Private Text Generation

Zi Liang, Pinghui Wang, Ruofei Zhang et al.

CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection

Wuyang Li, Xinyu Liu, Jiayi Ma et al.

EvSign: Sign Language Recognition and Translation with Streaming Events

Pengyu Zhang, Hao Yin, Zeren Wang et al.

MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks

Zhiyu Zhu, Huaming Chen, Jiayu Zhang et al.

InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser

Xing Cui, Zekun Li, Peipei Li et al.

Adaptive Federated Learning with Auto-Tuned Clients

Junhyung Lyle Kim, Mohammad Taha Toghani, Cesar Uribe et al.

Weakly Supervised Multimodal Affordance Grounding for Egocentric Images

Lingjing Xu, Yang Gao, Wenfeng Song et al.

Open-Vocabulary Calibration for Fine-tuned CLIP

Shuoyuan Wang, Jindong Wang, Guoqing Wang et al.

ScanTalk: 3D Talking Heads from Unregistered Scans

Federico Nocentini, Thomas Besnier, Claudio Ferrari et al.

Verifying message-passing neural networks via topology-based bounds tightening

Christopher Hojny, Shiqiang Zhang, Juan Campos et al.

UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization

Shuaibo Li, Wei Ma, Jianwei Guo et al.

Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics

Manuel Brenner, Florian Hess, Georgia Koppe et al.

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection

Wenyu Jiang, Hao Cheng, MingCai Chen et al.

Track Everything Everywhere Fast and Robustly

Yunzhou Song, Jiahui Lei, Ziyun Wang et al.

NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation

Ruikai Cui, Weizhe Liu, Weixuan Sun et al.

TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation

Nikolai Kalischek, Torben Peters, Jan Dirk Wegner et al.

Multi-Sender Persuasion: A Computational Perspective

Safwan Hossain, Tonghan Wang, Tao Lin et al.

ProTeCt: Prompt Tuning for Taxonomic Open Set Classification

Tz-Ying Wu, Chih-Hui Ho, Nuno Vasconcelos

3426 Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving

Junkai Xu, Liang Peng, Haoran Cheng et al.

What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis

Waïss Azizian, Franck Iutzeler, Jérôme Malick et al.

Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?

JIANFEI YANG, Hanjie Qian, Yuecong Xu et al.

Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning

Xiao Du, Yutong Ye, Pengyu Zhang et al.

Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport

Bin Li, Ye Shi, Qian Yu et al.

Multi-Label Cluster Discrimination for Visual Representation Learning

Xiang An, Kaicheng Yang, Xiangzi Dai et al.

Unifying Automatic and Interactive Matting with Pretrained ViTs

Zixuan Ye, Wenze Liu, He Guo et al.

Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration

Qiang Wang, Yuhang He, Songlin Dong et al.

Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment

Bowen Gao, Yinjun JIA, Yuanle Mo et al.

Let Go of Your Labels with Unsupervised Transfer

Artyom Gadetsky, Yulun Jiang, Maria Brbic

Multi-Objective Bayesian Optimization with Active Preference Learning

Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki et al.