Most Cited 2024 "animation dataset" Papers

Functional Diffusion

Biao Zhang, Peter Wonka

Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization

Ian Gemp, Luke Marris, Georgios Piliouras

BOtied: Multi-objective Bayesian optimization with tied multivariate ranks

Ji Won Park, Natasa Tagasovska, Michael Maser et al.

Unified Entropy Optimization for Open-Set Test-Time Adaptation

Zhengqing Gao, Xu-Yao Zhang, Cheng-Lin Liu

Masks, Signs, And Learning Rate Rewinding

Advait Gadhikar, Rebekka Burkholz

SEABO: A Simple Search-Based Method for Offline Imitation Learning

Jiafei Lyu, Xiaoteng Ma, Le Wan et al.

Cycle-Consistency Learning for Captioning and Grounding

Ning Wang, Jiajun Deng, Mingbo Jia

Grounding Language Plans in Demonstrations Through Counterfactual Perturbations

Yanwei Wang, Johnson (Tsun-Hsuan) Wang, Jiayuan Mao et al.

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning

Fushuo Huo, Wenchao Xu, Song Guo et al.

GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity

Shuo Cao, Yihao Liu, Wenlong Zhang et al.

Kalman-Inspired Feature Propagation for Video Face Super-Resolution

Ruicheng Feng, Chongyi Li, Chen Change Loy

The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images

Nicholas Konz, Maciej Mazurowski

Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking

Kun Hu, Wenjing Yang, Wanrong Huang et al.

Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness

Chenghan Xie, Chenxi Li, Chuwen Zhang et al.

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space

Mohsin Hasan, Guojun Zhang, Kaiyang Guo et al.

USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation

Xiaoqi Wang, Wenbin He, Xiwei Xuan et al.

CoBIT: A Contrastive Bi-directional Image-Text Generation Model

Haoxuan You, Xiaoyue Guo, Zhecan Wang et al.

MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning

Zohar Rimon, Tom Jurgenson, Orr Krupnik et al.

Are Models Biased on Text without Gender-related Language?

Catarina Belém, Preethi Seshadri, Yasaman Razeghi et al.

Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning

Junfeng CHEN, Kailiang Wu

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran et al.

Transport meets Variational Inference: Controlled Monte Carlo Diffusions

Francisco Vargas, Shreyas Padhy, Denis Blessing et al.

BENO: Boundary-embedded Neural Operators for Elliptic PDEs

Haixin Wang, Jiaxin Li, Anubhav Dwivedi et al.

SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos

Tao Wu, Runyu He, Gangshan Wu et al.

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

Shuaibo Li, Wei Ma, Jianwei Guo et al.

Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data

Rabia Gondur, Usama Bin Sikandar, Evan Schaffer et al.

Towards Fair Graph Federated Learning via Incentive Mechanisms

12794 Chenglu Pan, Jiarong Xu, Yue Yu et al.

SIGMA: Sinkhorn-Guided Masked Video Modeling

Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker et al.

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling

Jiajun Ma, Shuchen Xue, Tianyang Hu et al.

AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack

Ruikui Wang, Yuanfang Guo, Yunhong Wang

A Neural Framework for Generalized Causal Sensitivity Analysis

Dennis Frauen, Fergus Imrie, Alicia Curth et al.

Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection

Feiran Li, Qianqian Xu, Shilong Bao et al.

Mutual-Modality Adversarial Attack with Semantic Perturbation

Jingwen Ye, Ruonan Yu, Songhua Liu et al.

Tackling Vision Language Tasks through Learning Inner Monologues

Diji Yang, Kezhen Chen, Jinmeng Rao et al.

Rethinking Decision Transformer via Hierarchical Reinforcement Learning

Yi Ma, Jianye Hao, Hebin Liang et al.

ProTeCt: Prompt Tuning for Taxonomic Open Set Classification

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

X-Pose: Detecting Any Keypoints

Jie Yang, AILING ZENG, Ruimao Zhang et al.

Provable Reward-Agnostic Preference-Based Reinforcement Learning

Wenhao Zhan, Masatoshi Uehara, Wen Sun et al.

Free-Editor: Zero-shot Text-driven 3D Scene Editing

Md Nazmul Karim, Hasan Iqbal, Umar Khalid et al.

CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data

Jiangming Shi, Shanshan Zheng, Xiangbo Yin et al.

Pre-training with Random Orthogonal Projection Image Modeling

Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed et al.

PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns

Shuliang Ning, Duomin Wang, Yipeng Qin et al.

Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation

Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami et al.

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation

Jingxuan He, Lechao Cheng, Chaowei Fang et al.

SyFormer: Structure-Guided Synergism Transformer for Large-Portion Image Inpainting

Jie Wu, Yuchao Feng, Honghui Xu et al.

One Forward is Enough for Neural Network Training via Likelihood Ratio Method

Jinyang Jiang, Zeliang Zhang, Chenliang Xu et al.

NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation

Pengfei Zheng, Yonggang Zhang, Zhen Fang et al.

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off

Yuansan Liu, Ruqing Zhang, Mingkun Zhang et al.

Enhancing Adversarial Robustness in SNNs with Sparse Gradients

Yujia Liu, Tong Bu, Ding Jianhao et al.

Arrows of Time for Large Language Models

Vassilis Papadopoulos, Jérémie Wenger, Clement Hongler

Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling

Noam Elata, Tomer Michaeli, Michael Elad

Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification

YuTeng Ye, Hang Zhou, Jiale Cai et al.

CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry

Yingrui Wu, Mingyang Zhao, Keqiang Li et al.

Attention Meets Post-hoc Interpretability: A Mathematical Perspective

Gianluigi Lopardo, Frederic Precioso, Damien Garreau

ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network

Ruyue Liu, Rong Yin, Yong Liu et al.

DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System

Jinglue Hang, Xiangbo Lin, Tianqiang Zhu et al.

AttnZero: Efficient Attention Discovery for Vision Transformers

Lujun Li, Zimian Wei, Peijie Dong et al.

Exploiting Auxiliary Caption for Video Grounding

Hongxiang Li, Meng Cao, Xuxin Cheng et al.

HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors

Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou et al.

Referring Atomic Video Action Recognition

Kunyu Peng, Jia Fu, Kailun Yang et al.

Where am I? Scene Retrieval with Language

Jiaqi Chen, Daniel Barath, Iro Armeni et al.

MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning

Yichuan Li, Xiyao Ma, Sixing Lu et al.

MoVideo: Motion-Aware Video Generation with Diffusion Models

Jingyun Liang, Yuchen Fan, Kai Zhang et al.

Expand-and-Cluster: Parameter Recovery of Neural Networks

Flavio Martinelli, Berfin Simsek, Wulfram Gerstner et al.

Finding Visual Task Vectors

Alberto Hojel, Yutong Bai, Trevor Darrell et al.

Vision-Language Action Knowledge Learning for Semantic-Aware Action Quality Assessment

Huangbiao Xu, Xiao Ke, Yuezhou Li et al.

A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation

Ayan Sengupta, Shantanu Dixit, Md Shad Akhtar et al.

Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL

Fangwei Zhong, Kui Wu, Hai Ci et al.

Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks

Yassine ABBAHADDOU, Sofiane ENNADIR, Johannes Lutzeyer et al.

Parrot Captions Teach CLIP to Spot Text

Yiqi Lin, Conghui He, Alex Jinpeng Wang et al.

RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes

Thang-Anh-Quan Nguyen, Luis G Roldao Jimenez, Nathan Piasco et al.

Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes

Yotam Amitai, Yael Friedler, Ofra Amir

How to Escape Sharp Minima with Random Perturbations

Kwangjun Ahn, Ali Jadbabaie, Suvrit Sra

Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling

Liwen Wu, Sai Bi, Zexiang Xu et al.

ReCoRe: Regularized Contrastive Representation Learning of World Model

Rudra P, K. Poudel, Harit Pandya et al.

Robust Multimodal Learning via Representation Decoupling

Shicai Wei, Yang Luo, Yuji Wang et al.

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context

Haochong Xia, Shuo Sun, Xinrun Wang et al.

Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors

Jae Joong Lee, Bosheng Li, Sara Beery et al.

DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning

Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim et al.

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation

Jisoo Jeong, Hong Cai, Risheek Garrepalli et al.

Online GNN Evaluation Under Test-time Graph Distribution Shifts

Xin Zheng, Dongjin Song, Qingsong Wen et al.

Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving

Mozhgan Pourkeshavarz, Mohammad Sabokrou, Amir Rasouli

Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity

Runyu Zhang, Yang Hu, Na Li

RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation

Oded Bialer, Yuval Haitman

HyperFields: Towards Zero-Shot Generation of NeRFs from Text

Sudarshan Babu, Richard Liu, Zi Yu Zhou et al.

SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective

Yu-Bang Zheng, Xile Zhao, Junhua Zeng et al.

Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition

Zihan Wang, Siyang Song, Cheng Luo et al.

UniHuman: A Unified Model For Editing Human Images in the Wild

Nannan Li, Qing Liu, Krishna Kumar Singh et al.

3D Neural Edge Reconstruction

Lei Li, Songyou Peng, Zehao Yu et al.

Hyperbolic Learning with Synthetic Captions for Open-World Detection

Fanjie Kong, Yanbei Chen, Jiarui Cai et al.

TriSampler: A Better Negative Sampling Principle for Dense Retrieval

Zhen Yang, Zhou Shao, Yuxiao Dong et al.

Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks

Tong Wang, Yuan Yao, Feng Xu et al.

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks

Yankai Chen, Yixiang Fang, Qiongyan Wang et al.

Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

Djamahl Etchegaray, Zi Helen Huang, Tatsuya Harada et al.

3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation

Zihao Xiao, Longlong Jing, Shangxuan Wu et al.

Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption

Buzhen Huang, Chen Li, Chongyang Xu et al.

ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic Environments

Taewoong Kim, Cheolhong Min, Byeonghwi Kim et al.

EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification

Suorong Yang, Furao Shen, Jian Zhao

IMMA: Immunizing text-to-image Models against Malicious Adaptation

Amber Yijia Zheng, Raymond Yeh

Principled Preferential Bayesian Optimization

Wenjie Xu, Wenbin Wang, Yuning Jiang et al.

CNN Kernels Can Be the Best Shapelets

Eric Qu, Yansen Wang, Xufang Luo et al.

Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging

Fulin Luo, Xi Chen, Xiuwen Gong et al.

Neural-Symbolic Recursive Machine for Systematic Generalization

Qing Li, Yixin Zhu, Yitao Liang et al.

Region-Based Representations Revisited

Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao et al.

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization

Qi Jia, Yaqi Cai, Qi Jia et al.

SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models

Xudong LU, Aojun Zhou, Yuhui Xu et al.

Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse

Yining Wang, Junjie Sun, Chenyue Wang et al.

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Guibin Zhang, Yanwei Yue, kun wang et al.

HEAL-SWIN: A Vision Transformer On The Sphere

Oscar Carlsson, Jan E. Gerken, Hampus Linander et al.

LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation

Archana Swaminathan, Anubhav Anubhav, Kamal Gupta et al.

LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation

Ke Guo, Zhenwei Miao, Wei Jing et al.

Privately Aligning Language Models with Reinforcement Learning

Fan Wu, Huseyin Inan, Arturs Backurs et al.

Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples

Junhao Dong, Piotr Koniusz, Junxi Chen et al.

WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts

Yong Hyun Ahn, Hyeon Bae Kim, Seong Tae Kim

Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection

Jongha Kim, Jihwan Park, Jinyoung Park et al.

LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition

Zhonglin Sun, Chen Feng, Ioannis Patras et al.

LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer

Ning Yu, Chia-Chih Chen, Zeyuan Chen et al.

Bootstrapping Autonomous Driving Radars with Self-Supervised Learning

Yiduo Hao, Sohrab Madani, Junfeng Guan et al.

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks

Zhiying Jiang, Xingyuan Li, Jinyuan Liu et al.

L2B: Learning to Bootstrap Robust Models for Combating Label Noise

Yuyin Zhou, Xianhang li, Fengze Liu et al.

Learning Structure-from-Motion with Graph Attention Networks

Lucas Brynte, José Pedro Iglesias, Carl Olsson et al.

MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild

Zeren Jiang, Chen Guo, Manuel Kaufmann et al.

MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos

Jielin Qiu, Jiacheng Zhu, William Han et al.

Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains

Bang-Dang Pham, Phong Tran, Anh Tran et al.

ControlCap: Controllable Region-level Captioning

Yuzhong Zhao, Liu Yue, Zonghao Guo et al.

Improving Gradient-Guided Nested Sampling for Posterior Inference

Pablo Lemos, Nikolay Malkin, Will Handley et al.

CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion

Zhenjiang Du, Jiale Dou, Zhitao Liu et al.

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space

Yunchen Li, Zhou Yu, Gaoqi He et al.

In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging

Xin Wang, Lizhi Wang, Xiangtian Ma et al.

Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation

Jingyun Wang, Guoliang Kang

Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models

Shitian Zhao, Zhuowan Li, YadongLu et al.

HUMOS: Human Motion Model Conditioned on Body Shape

Shashank Tripathi, Omid Taheri, Christoph Lassner et al.

SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation

Danni Yang, Jiayi Ji, Yiwei Ma et al.

Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching

Rui Gong, Weide Liu, ZAIWANG GU et al.

Controlling the World by Sleight of Hand

Sruthi Sudhakar, Ruoshi Liu, Basile Van Hoorick et al.

Misalignment-Robust Frequency Distribution Loss for Image Transformation

Zhangkai Ni, Juncheng Wu, Zian Wang et al.

SketchINR: A First Look into Sketches as Implicit Neural Representations

Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury et al.

Prompt-guided Precise Audio Editing with Diffusion Models

Manjie Xu, Chenxing Li, Duzhen Zhang et al.

Position: Benchmarking is Limited in Reinforcement Learning Research

Scott Jordan, Adam White, Bruno da Silva et al.

X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition

Shuofeng Sun, Yongming Rao, Jiwen Lu et al.

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling

Hong Wang, Zhongkai Hao, Jie Wang et al.

ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction

Shaozhe Hao, Kai Han, Zhengyao Lv et al.

DGD: Dynamic 3D Gaussians Distillation

Isaac Labe, Noam Issachar, Itai Lang et al.

Policy Learning for Balancing Short-Term and Long-Term Rewards

Peng Wu, Ziyu Shen, Feng Xie et al.

UniCode : Learning a Unified Codebook for Multimodal Large Language Models

Sipeng Zheng, Bohan Zhou, Yicheng Feng et al.

Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning

Fan-Ming Luo, Tian Xu, Xingchen Cao et al.

Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning

Nicolas Michel, Giovanni Chierchia, Romain Negrel et al.

Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency

Soumyadeep Pal, Yuguang Yao, Ren Wang et al.

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack

Neural Contractive Dynamical Systems

Hadi Beik Mohammadi, Søren Hauberg, Georgios Arvanitidis et al.

Slice3D: Multi-Slice Occlusion-Revealing Single View 3D Reconstruction

Yizhi Wang, Wallace Lira, Wenqi Wang et al.

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

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

Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from Monocular Images

Junxing Hu, Hongwen Zhang, Zerui Chen et al.

Adaptive Federated Learning with Auto-Tuned Clients

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

Memory-based Adapters for Online 3D Scene Perception

Xiuwei Xu, Chong Xia, Ziwei Wang et al.

Federated Optimization with Doubly Regularized Drift Correction

Xiaowen Jiang, Anton Rodomanov, Sebastian Stich

Free-VSC: Free Semantics from Visual Foundation Models for Unsupervised Video Semantic Compression

Yuan Tian, Guo Lu, Guangtao Zhai

Open-Vocabulary Calibration for Fine-tuned CLIP

Shuoyuan Wang, Jindong Wang, Guoqing Wang et al.

PointNeRF++: A multi-scale, point-based Neural Radiance Field

Weiwei Sun, Eduard Trulls, Yang-Che Tseng et al.

Protein Multimer Structure Prediction via Prompt Learning

Ziqi Gao, Xiangguo SUN, Zijing Liu et al.

M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis

Ning Zhang, Hiuyi Cheng, Jiayu Chen et al.

Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection

Jiayi Gao, Kongming Liang, Tao Wei et al.

Reinforcement Learning Meets Visual Odometry

Nico Messikommer, Giovanni Cioffi, Mathias Gehrig et al.

Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models

Xiao Liu, Xiaoliu Guan, Yu Wu et al.

SeaBird: Segmentation in Bird’s View with Dice Loss Improves Monocular 3D Detection of Large Objects

Abhinav Kumar, Yuliang Guo, Xinyu Huang et al.

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

Wenyu Jiang, Hao Cheng, MingCai Chen et al.

DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data

Hanrong Ye, Dan Xu

Cell Graph Transformer for Nuclei Classification

Wei Lou, Guanbin Li, Xiang Wan et al.

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

Daniela Massiceti, Camilla Longden, Agnieszka Słowik et al.

Norface: Improving Facial Expression Analysis by Identity Normalization

Hanwei Liu, Rudong An, Zhimeng Zhang et al.

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning

Jianxiong Li, Jinliang Zheng, Yinan Zheng et al.

Long-term Temporal Context Gathering for Neural Video Compression

Linfeng Qi, Zhaoyang Jia, Jiahao Li et al.

Rating-Based Reinforcement Learning

Devin White, Mingkang Wu, Ellen Novoseller et al.

Generalizable Facial Expression Recognition

Yuhang Zhang, Xiuqi Zheng, Chenyi Liang et al.

Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment

Bowen Gao, Yinjun JIA, Yuanle Mo et al.

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition

Shikai Fang, Qingsong Wen, Yingtao Luo et al.

Neural Volumetric World Models for Autonomous Driving

Zanming Huang, Jimuyang Zhang, Eshed Ohn-Bar

GraCo: Granularity-Controllable Interactive Segmentation

Yian Zhao, Kehan Li, Zesen Cheng et al.

MoEAD: A Parameter-efficient Model for Multi-class Anomaly Detection

Shiyuan Meng, Wenchao Meng, Qihang Zhou et al.

Compound Text-Guided Prompt Tuning via Image-Adaptive Cues

Hao Tan, Jun Li, Yizhuang Zhou et al.

Multi-Sender Persuasion: A Computational Perspective

Safwan Hossain, Tonghan Wang, Tao Lin et al.

Foster Adaptivity and Balance in Learning with Noisy Labels

Mengmeng Sheng, Zeren Sun, Tao Chen et al.

CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning

Tianyu Li, Hyunyoung Jung, Matthew Gombolay et al.

Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection

QIJIE MO, Yipeng Gao, Shenghao Fu et al.

SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders

Sheng-Wei Li, Zi-Xiang Wei, Wei-Jie Jack Chen et al.

FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction

Hang Hua, Jing Shi, Kushal Kafle et al.

Score Models for Offline Goal-Conditioned Reinforcement Learning

Harshit Sikchi, Rohan Chitnis, Ahmed Touati et al.

PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar

Tzofi Klinghoffer, Xiaoyu Xiang, Siddharth Somasundaram et al.

Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning

Rui Zhao, Bin Shi, Jianfei Ruan et al.

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach

Dyah Adila, Shuai Zhang, Boran Han et al.

HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions

Hao Xu, Li Haipeng, Yinqiao Wang et al.

Neural Active Learning Beyond Bandits

Yikun Ban, Ishika Agarwal, Ziwei Wu et al.

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

JIANFEI YANG, Hanjie Qian, Yuecong Xu et al.

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

Christopher Hojny, Shiqiang Zhang, Juan Campos et al.

RLVF: Learning from Verbal Feedback without Overgeneralization

Moritz Stephan, Alexander Khazatsky, Eric Mitchell et al.

Grounding Language Models for Visual Entity Recognition

Zilin Xiao, Ming Gong, Paola Cascante-Bonilla et al.

Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity

Yiyue Chen, Haris Vikalo, Chianing Wang

Retrieval-Augmented Score Distillation for Text-to-3D Generation

Junyoung Seo, Susung Hong, Wooseok Jang et al.

In-context Exploration-Exploitation for Reinforcement Learning

Zhenwen Dai, Federico Tomasi, Sina Ghiassian

PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects

Junyi Li, Junfeng Wu, Weizhi Zhao et al.