Most Cited 2024 "genai model evaluation" Papers

Linear Log-Normal Attention with Unbiased Concentration

Yury Nahshan, Joseph Kampeas, Emir Haleva

PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation

Shilin Yan, Xiaohao Xu, Renrui Zhang et al.

Instance Tracking in 3D Scenes from Egocentric Videos

Yunhan Zhao, Haoyu Ma, Shu Kong et al.

Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization

Jiajun Hu, Jian Zhang, Lei Qi et al.

Discriminative Probing and Tuning for Text-to-Image Generation

Leigang Qu, Wenjie Wang, Yongqi Li et al.

Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow

Hanyu Zhou, Yi Chang, Zhiwei Shi

Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks

Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.

A Simple and Scalable Representation for Graph Generation

Yunhui Jang, Seul Lee, Sungsoo Ahn

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation

Rajeev Yasarla, Manish Kumar Singh, Hong Cai et al.

Multi-Sentence Grounding for Long-term Instructional Video

Zeqian Li, QIRUI CHEN, Tengda Han et al.

Language-Informed Visual Concept Learning

Sharon Lee, Yunzhi Zhang, Shangzhe Wu et al.

RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction

Baptiste Brument, Robin Bruneau, Yvain Queau et al.

R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning

Mengyuan Chen, Junyu Gao, Changsheng Xu

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences

Anh Thai, Weiyao Wang, Hao Tang et al.

MGNet: Learning Correspondences via Multiple Graphs

Dai Luanyuan, Xiaoyu Du, Hanwang Zhang et al.

PIDformer: Transformer Meets Control Theory

Tam Nguyen, Cesar Uribe, Tan Nguyen et al.

Controllable Prompt Tuning For Balancing Group Distributional Robustness

Hoang Phan, Andrew Wilson, Qi Lei

LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection

Sanmin Kim, Youngseok Kim, Sihwan Hwang et al.

OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising

Haichao Zhang, Yi Xu, Hongsheng Lu et al.

Realistic Human Motion Generation with Cross-Diffusion Models

Zeping Ren, Shaoli Huang, Xiu Li

A Plug-and-Play Image Registration Network

JUNHAO HU, Weijie Gan, Zhixin Sun et al.

Image Content Generation with Causal Reasoning

Xiaochuan Li, Baoyu Fan, Run Zhang et al.

Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments

Ryo Ueda, TADAHIRO TANIGUCHI

Kernel Diffusion: An Alternate Approach to Blind Deconvolution

Yash Sanghvi, Yiheng Chi, Stanley Chan

Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency

Sudeep Salgia, Sattar Vakili, Qing Zhao

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie et al.

Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction

Xiaoyang Lyu, Chirui Chang, Peng Dai et al.

Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth

Zimin Xia, Yujiao Shi, HONGDONG LI et al.

SINDER: Repairing the Singular Defects of DINOv2

Haoqi Wang, Tong Zhang, Mathieu Salzmann

Using AI Uncertainty Quantification to Improve Human Decision-Making

Laura Marusich, Jonathan Bakdash, Yan Zhou et al.

Memory-Efficient Reversible Spiking Neural Networks

Hong Zhang, Yu Zhang

Sparse and Structured Hopfield Networks

Saúl Santos, Vlad Niculae, Daniel McNamee et al.

Cauchy-Schwarz Divergence Information Bottleneck for Regression

Shujian Yu, Xi Yu, Sigurd Løkse et al.

SNeRV: Spectra-preserving Neural Representation for Video

Jina Kim, Jihoo Lee, Jewon Kang

RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations

Jiajun He, Gergely Flamich, Zongyu Guo et al.

Robust Test-Time Adaptation for Zero-Shot Prompt Tuning

Ding-Chu Zhang, Zhi Zhou, Yufeng Li

Improving Bird's Eye View Semantic Segmentation by Task Decomposition

Tianhao Zhao, Yongcan Chen, Yu Wu et al.

Generative Powers of Ten

Xiaojuan Wang, Janne Kontkanen, Brian Curless et al.

No More Shortcuts: Realizing the Potential of Temporal Self-Supervision

Ishan Rajendrakumar Dave, Simon Jenni, Mubarak Shah

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness

Jiequan Cui, Beier Zhu, Xin Wen et al.

Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph

Zhengcen Li, Xinle Chang, Yueran Li et al.

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting

Muyao Wang, Wenchao Chen, Bo Chen

MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation

Linyan Yang, Lukas Hoyer, Mark Weber et al.

S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video

Hao Zhang, Fang Li, Samyak Rawlekar et al.

ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild

Chen Guo, Tianjian Jiang, Manuel Kaufmann et al.

Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers

Awni Altabaa, Taylor Webb, Jonathan Cohen et al.

Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds

Jadie Adams, Shireen Elhabian

Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models

Thomas Zollo, Todd Morrill, Zhun Deng et al.

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing

Lokesh Nagalapatti, Akshay Iyer, Abir De et al.

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

Yixuan Weng, Minjun Zhu, Fei Xia et al.

Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning

Jin Hwa Lee, Stefano Mannelli, Andrew Saxe

EX-Graph: A Pioneering Dataset Bridging Ethereum and X

Qian Wang, Zhen Zhang, Zemin Liu et al.

DiffFAS: Face Anti-Spoofing via Generative Diffusion Models

Xinxu Ge, Xin Liu, Zitong Yu et al.

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference

Debo Cheng, Ziqi Xu, Jiuyong Li et al.

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection

Hongquan Zhang, Bin-Bin Gao, Yi Zeng et al.

PairAug: What Can Augmented Image-Text Pairs Do for Radiology?

Yutong Xie, Qi Chen, Sinuo Wang et al.

Transformer as Linear Expansion of Learngene

Shiyu Xia, Miaosen Zhang, Xu Yang et al.

Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models

Seungcheol Park, Hojun Choi, U Kang

Discounted Adaptive Online Learning: Towards Better Regularization

Zhiyu Zhang, David Bombara, Heng Yang

Physical-Based Event Camera Simulator

Haiqian Han, Jiacheng Lyu, Jianing Li et al.

Benchmarking Spurious Bias in Few-Shot Image Classifiers

Guangtao Zheng, Wenqian Ye, Aidong Zhang

Temporally Consistent Stereo Matching

Jiaxi Zeng, Chengtang Yao, Yuwei Wu et al.

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

Unsupervised Gaze Representation Learning from Multi-view Face Images

Yiwei Bao, Feng Lu

DUPLEX: Dual GAT for Complex Embedding of Directed Graphs

Zhaoru Ke, Hang Yu, Jianguo Li et al.

COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation

Liu He, Daniel Aliaga

MultiPhys: Multi-Person Physics-aware 3D Motion Estimation

Nicolás Ugrinovic, Boxiao Pan, Georgios Pavlakos et al.

STARC: A General Framework For Quantifying Differences Between Reward Functions

Joar Skalse, Lucy Farnik, Sumeet Motwani et al.

InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation

Jacob Si, Wendy Yusi Cheng, Michael Cooper et al.

FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior

Zhekai Chen, Wen Wang, Zhen Yang et al.

Exploring Transformer Extrapolation

Zhen Qin, Yiran Zhong, Hui Deng

Improving Interpretation Faithfulness for Vision Transformers

Lijie Hu, Yixin Liu, Ninghao Liu et al.

Bridging Vision and Language Spaces with Assignment Prediction

Jungin Park, Jiyoung Lee, Kwanghoon Sohn

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers

Zeliang Zhang, Mingqian Feng, Zhiheng Li et al.

CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning

Qingsong Yan, Qiang Wang, Kaiyong Zhao et al.

Robustly Learning Single-Index Models via Alignment Sharpness

Nikos Zarifis, Puqian Wang, Ilias Diakonikolas et al.

Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes

Quang Truong, Peter Chin

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

Wen Yin, Jian Lou, Pan Zhou et al.

Consistent Long-Term Forecasting of Ergodic Dynamical Systems

Vladimir Kostic, Karim Lounici, Prune Inzerilli et al.

EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens

Sunil Hwang, Jaehong Yoon, Youngwan Lee et al.

Compositional Image Decomposition with Diffusion Models

Jocelin Su, Nan Liu, Yanbo Wang et al.

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring

Jeongwhan Choi, Sumin Parksumin, Hyowon Wi et al.

Online Algorithms with Uncertainty-Quantified Predictions

Bo Sun, Jerry Huang, Nicolas Christianson et al.

Explaining Graph Neural Networks via Structure-aware Interaction Index

Ngoc Bui, Trung Hieu Nguyen, Viet Anh Nguyen et al.

Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics

Luca Grillotti, Maxence Faldor, Borja G. León et al.

Learning Latent Dynamic Robust Representations for World Models

Ruixiang Sun, Hongyu Zang, Xin Li et al.

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction

He Zhang, Chang Liu, wang et al.

Minimum-Norm Interpolation Under Covariate Shift

Neil Mallinar, Austin Zane, Spencer Frei et al.

Emergent Equivariance in Deep Ensembles

Jan Gerken, Pan Kessel

Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis

Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky et al.

Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference

Yujin Han, Difan Zou

Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products

Guy Bar Shalom, Beatrice Bevilacqua, Haggai Maron

Scaling Laws for the Value of Individual Data Points in Machine Learning

Ian Covert, Wenlong Ji, Tatsunori Hashimoto et al.

Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models

Akhil Kedia, Mohd Abbas Zaidi, Sushil Khyalia et al.

Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior

Shuyu Cheng, Yibo Miao, Yinpeng Dong et al.

Expressivity and Generalization: Fragment-Biases for Molecular GNNs

Tom Wollschläger, Niklas Kemper, Leon Hetzel et al.

Diversified Batch Selection for Training Acceleration

Feng Hong, Yueming LYU, Jiangchao Yao et al.

Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems

David T. Hoffmann, Simon Schrodi, Jelena Bratulić et al.

Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity

Xudong Li, Timin Gao, Runze Hu et al.

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm

Batiste Le Bars, Aurélien Bellet, Marc Tommasi et al.

Using Left and Right Brains Together: Towards Vision and Language Planning

Jun CEN, Chenfei Wu, Xiao Liu et al.

Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization

Ruizhong Qiu, Hanghang Tong

Online Linear Regression in Dynamic Environments via Discounting

Andrew Jacobsen, Ashok Cutkosky

Allocation Requires Prediction Only if Inequality Is Low

Ali Shirali, Rediet Abebe, Moritz Hardt

Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds

Noémie Jaquier, Leonel Rozo, Miguel González-Duque et al.

Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks

Lorenzo Bardone, Sebastian Goldt

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

Alexander Rudikov, Fanaskov Vladimir, Ekaterina Muravleva et al.

Self-attention Networks Localize When QK-eigenspectrum Concentrates

Han Bao, Ryuichiro Hataya, Ryo Karakida

Predictive Linear Online Tracking for Unknown Targets

Anastasios Tsiamis, Aren Karapetyan, Yueshan Li et al.

Diffusion Rejection Sampling

Byeonghu Na, Yeongmin Kim, Minsang Park et al.

Differentiability and Optimization of Multiparameter Persistent Homology

Luis Scoccola, Siddharth Setlur, David Loiseaux et al.

Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models

Som Sagar, Aditya Taparia, Ransalu Senanayake

A Global Geometric Analysis of Maximal Coding Rate Reduction

Peng Wang, Huikang Liu, Druv Pai et al.

Trained Random Forests Completely Reveal your Dataset

Julien Ferry, Ricardo Fukasawa, Timothée Pascal et al.

OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model

Runyi Li, Xuhan SHENG, Weiqi Li et al.

FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection

Zizhang Wu, Yuanzhu Gan, Yunzhe Wu et al.

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

Jinmin He, Kai Li, Yifan Zang et al.

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

Xin Yang, Wending Yan, Yuan Yuan et al.

Workflow Discovery from Dialogues in the Low Data Regime

David Vazquez, Stefania Raimondo, Christopher Pal et al.

CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts

Yichao Cai, Yuhang Liu, Zhen Zhang et al.

Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene

Ruiyang Zhang, Hu Zhang, Hang Yu et al.

FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models

Wei WU, Qingnan Fan, Shuai Qin et al.

On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters

Matthias Lanzinger, Pablo Barcelo

Cinematic Behavior Transfer via NeRF-based Differentiable Filming

Xuekun Jiang, Anyi Rao, Jingbo Wang et al.

Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis

Juyeon Ko, Inho Kong, Dogyun Park et al.

Delving into Differentially Private Transformer

Youlong Ding, Xueyang Wu, Yining meng et al.

Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning

Hyungho Na, Yunkyeong Seo, Il-chul Moon

Specularity Factorization for Low-Light Enhancement

Saurabh Saini, P. J. Narayanan

Robust Depth Enhancement via Polarization Prompt Fusion Tuning

Kei IKEMURA, Yiming Huang, Felix Heide et al.

Delivering Inflated Explanations

Yacine Izza, Alexey Ignatiev, Peter Stuckey et al.

CR-SAM: Curvature Regularized Sharpness-Aware Minimization

Tao Wu, Tie Luo, Donald Wunsch

IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation

Yuanhao Zhai, Kevin Lin, Linjie Li et al.

Fundamental Benefit of Alternating Updates in Minimax Optimization

Jaewook Lee, Hanseul Cho, Chulhee Yun

BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion

Zhaochen Liu, Zhixuan Li, Tingting Jiang

Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures

Jiaqi He, Zhihua Wang, Leon Wang et al.

Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models

Xiaoyu Zhu, Hao Zhou, Pengfei Xing et al.

DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency

Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang et al.

Open-Set Facial Expression Recognition

Yuhang Zhang, Yue Yao, Xuannan Liu et al.

1497 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval

Long Tang, Dengpan Ye, Yunna Lv et al.

TimeCraft: Navigate Weakly-Supervised Temporal Grounded Video Question Answering via Bi-directional Reasoning

Huabin Liu, Xiao Ma, Cheng Zhong et al.

Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction

Da Luo, Yanglei Gan, Rui Hou et al.

DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning

Shuai Shao, Yu Bai, Yan WANG et al.

Disentangled Pre-training for Human-Object Interaction Detection

Zhuolong Li, Xingao Li, Changxing Ding et al.

Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation

Mengchen Zhang, Tong Wu, Tai Wang et al.

NTO3D: Neural Target Object 3D Reconstruction with Segment Anything

Xiaobao Wei, Renrui Zhang, Jiarui Wu et al.

NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model

Zhongqun Zhang, Hengfei Wang, Ziwei Yu et al.

Bridging the Gap Between End-to-End and Two-Step Text Spotting

Mingxin Huang, Hongliang Li, Yuliang Liu et al.

How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization

Andrew Lowy, Jonathan Ullman, Stephen Wright

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation

Chenglong Wang, Hang Zhou, Yimin Hu et al.

JointSQ: Joint Sparsification-Quantization for Distributed Learning

Weiying Xie, Haowei Li, Ma Jitao et al.

Toward Tiny and High-quality Facial Makeup with Data Amplify Learning

Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin et al.

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning

Yan Fan, Yu Wang, Pengfei Zhu et al.

Embodied CoT Distillation From LLM To Off-the-shelf Agents

Wonje Choi, Woo Kyung Kim, Minjong Yoo et al.

Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions

Weng Fei Low, Gim Hee Lee

DREAM: Diffusion Rectification and Estimation-Adaptive Models

Jinxin Zhou, Tianyu Ding, Tianyi Chen et al.

Hindsight PRIORs for Reward Learning from Human Preferences

Mudit Verma, Katherine Metcalf

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior

Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya et al.

MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment

Kanglei Zhou, Liyuan Wang, Xingxing Zhang et al.

Test-Time Zero-Shot Temporal Action Localization

Benedetta Liberatori, Alessandro Conti, Paolo Rota et al.

CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering

Haidong Zhu, Tianyu Ding, Tianyi Chen et al.

Federated Representation Learning in the Under-Parameterized Regime

Renpu Liu, Cong Shen, Jing Yang

SEA: Sparse Linear Attention with Estimated Attention Mask

Heejun Lee, Jina Kim, Jeff Willette et al.

TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models

Jeongho Kim, Min-Jung Kim, Junsoo Lee et al.

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors

Olivier Laurent, Emanuel Aldea, Gianni Franchi

Pedestrian Attribute Recognition as Label-balanced Multi-label Learning

Yibo Zhou, Hai-Miao Hu, Yirong Xiang et al.

Single Mesh Diffusion Models with Field Latents for Texture Generation

Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia

From Generalization Analysis to Optimization Designs for State Space Models

Fusheng Liu, Qianxiao Li

Dynamic Layer Tying for Parameter-Efficient Transformers

Tamir David-Hay, Lior Wolf

Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning

Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović et al.

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks

Jintang Li, Huizhe Zhang, Ruofan Wu et al.

Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors

Wei Shang, Dongwei Ren, Wanying Zhang et al.

COSA: Concatenated Sample Pretrained Vision-Language Foundation Model

Sihan Chen, Xingjian He, Handong Li et al.

Unraveling Batch Normalization for Realistic Test-Time Adaptation

Zixian Su, Jingwei Guo, Kai Yao et al.

Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors

Ruicheng Wang, Jianfeng Xiang, Jiaolong Yang et al.

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret

Han Zhong, Jiachen Hu, Yecheng Xue et al.

Continuous Piecewise-Affine Based Motion Model for Image Animation

Hexiang Wang, Fengqi Liu, Qianyu Zhou et al.

Class-Agnostic Object Counting with Text-to-Image Diffusion Model

Xiaofei Hui, Qian Wu, Hossein Rahmani et al.

TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing

Xudong Wang, Ke-Yue Zhang, Taiping Yao et al.

SIGNeRF: Scene Integrated Generation for Neural Radiance Fields

Jan-Niklas Dihlmann, Andreas Engelhardt, Hendrik Lensch

Uncertainty Regularized Evidential Regression

Kai Ye, Tiejin Chen, Hua Wei et al.

Towards Understanding and Improving Adversarial Robustness of Vision Transformers

Samyak Jain, Tanima Dutta

Federated Causal Discovery from Heterogeneous Data

Loka Li, Ignavier Ng, Gongxu Luo et al.

Learning Invariant Inter-pixel Correlations for Superpixel Generation

Sen Xu, Shikui Wei, Tao Ruan et al.

Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training

Hyesong Choi, Hyejin Park, Kwang Moo Yi et al.

Bi-Causal: Group Activity Recognition via Bidirectional Causality

Youliang Zhang, Wenxuan Liu, danni xu et al.

Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming

Haotian Ling, Zhihai Wang, Jie Wang

Critical Learning Periods Emerge Even in Deep Linear Networks

Michael Kleinman, Alessandro Achille, Stefano Soatto

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior

Kai Cui, Sascha Hauck, Christian Fabian et al.

InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image

Jianhui Li, Shilong Liu, Zidong Liu et al.

MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion

Lehong Wu, Lilang Lin, Jiahang Zhang et al.

Neural Spectral Decomposition for Dataset Distillation

Yang Shaolei, Shen Cheng, Mingbo Hong et al.

Nonverbal Interaction Detection

Jianan Wei, Tianfei Zhou, Yi Yang et al.

SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining

Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon et al.

MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment

Anurag Das, Xinting Hu, Li Jiang et al.

Stochastic Modified Equations and Dynamics of Dropout Algorithm

Zhongwang Zhang, Yuqing Li, Tao Luo et al.

Knowledge-Aware Parameter Coaching for Personalized Federated Learning

Mingjian Zhi, Yuanguo Bi, Wenchao Xu et al.

CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping

Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar et al.

GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models

Haitao Yang, Xiangru Huang, Bo Sun et al.

A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives

Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro et al.

X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer

Linglin Jing, Ying Xue, Xu Yan et al.