Most Cited 2025 "visual information processing" Papers

Coreset Spectral Clustering

Ben Jourdan, Gregory Schwartzman, Peter Macgregor et al.

Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search

Tuan Dam

GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model

Yifang Qin, Jiaxuan Xie, Zhiping Xiao et al.

Feature Shift Localization Network

Míriam Barrabés, Daniel Mas Montserrat, Kapal Dev et al.

Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment

Yiran Qiao, Ningtao Wang, Yuncong Gao et al.

Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation

Yuxin Qi, Quan Zhang, Xi Lin et al.

Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning

Fan Shi, Bin Li, Xiangyang Xue

Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks

Lingyu Mu, Zhengxiao Liu, Zhitong Zhu et al.

DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation

Fanshen Meng, Zhenhua Meng, Ru Jin et al.

Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision

Anqi Lu, Junchi Yan

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation

Tianci Bu, Le Zhou, Wenchuan Yang et al.

Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification

Teng Huang, Bin-Bin Jia, Min-Ling Zhang

Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness

Yibo Xu, Dawei Zhou, Decheng Liu et al.

Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents

Eric Frankel, Kshitij Kulkarni, Dmitriy Drusvyatskiy et al.

TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models

Liangzu Peng, Juan Elenter, Joshua Agterberg et al.

GenAuction: A Generative Auction for Online Advertising

Yuchao Ma, Ruohan Qian, Bingzhe Wang et al.

Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation

Md Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong et al.

On Designing the Optimal Integrated Ad Auction in E-commerce Platforms

Yuchao Ma, Weian Li, Yuhan Wang et al.

RB-Modulation: Training-Free Stylization using Reference-Based Modulation

Litu Rout, Yujia Chen, Nataniel Ruiz et al.

Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion

Jinbiao Chen, Jiahai Wang, Zhiguang Cao et al.

MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition

ning wang, Zekun Li, Tongxin Bai et al.

Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices

Junhao Dong, Piotr Koniusz, Yifei Zhang et al.

Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding

Jinbiao Chen, Zhiguang Cao, Jiahai Wang et al.

Sub-Interest-Aware Representation Uniformity for Recommender System

Ruijia Ma, Yahong Lian, Chunyao Song

Private Model Personalization Revisited

Conor Snedeker, Xinyu Zhou, Raef Bassily

Online Learning in the Random-Order Model

Martino Bernasconi, Andrea Celli, Riccardo Colini Baldeschi et al.

Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations

Zhengming Chen, Yewei Xia, Feng Xie et al.

LEVIS: Large Exact Verifiable Input Spaces for Neural Networks

Mohamad Chehade, Wenting Li, Brian Bell et al.

Latent Variable Causal Discovery under Selection Bias

Haoyue Dai, Yiwen Qiu, Ignavier Ng et al.

Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation

Mingyang Lv, Xiangfeng Liu, Yuanbo Xu

Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries

Akira Ito, Masanori Yamada, Atsutoshi Kumagai

Enhancing Sequential Recommendation with Global Diffusion

Mingxuan Luo, Yang Li, Chen Lin

Batch List-Decodable Linear Regression via Higher Moments

Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar et al.

Densest k-Subgraph Mining via a Provably Tight Relaxation

Qiheng Lu, Nicholas D Sidiropoulos, Aritra Konar

Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations

Yuguang Liu, Yiyun Miao, Luyao Xia

LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination

Lihe Li, lei yuan, Pengsen Liu et al.

THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction

Yanchao Liu, Pengzhou Zhang, Wenchao Song et al.

Effective and Efficient Representation Learning for Flight Trajectories

Shuo Liu, Wenbin Li, Di Yao et al.

DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression

Junjie Wen, Yichen Zhu, Minjie Zhu et al.

Learning Monotonic Probabilities with a Generative Cost Model

Yongxiang Tang, Yanhua Cheng, Xiaocheng Liu et al.

Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion

Dohoon Lee, Jaehyun Park, Hyunwoo Kim et al.

Stream-level Flow Matching with Gaussian Processes

Ganchao Wei, Li Ma

Exploring the Relationship Between Samples and Masks for Robust Defect Localization

Jiang Lin, Hui Xue, Fanxiu Sun et al.

Iterative Sparse Attention for Long-sequence Recommendation

Guanyu Lin, Jinwei Luo, Yinfeng Li et al.

D3: A Dataset for Training Code LMs to Act Diff-by-Diff

Ulyana Piterbarg, Kanishk Gandhi, Lerrel Pinto et al.

TabSDS: a Lightweight, Fully Non-Parametric, and Model Free Approach for Generating Synthetic Tabular Data

Elias Chaibub Neto

Point Cloud Dataset Distillation

Deyu Bo, Xinchao Wang

Structure Balance and Gradient Matching-Based Signed Graph Condensation

Rong Li, Long Xu, Songbai Liu et al.

Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction

Junliang Li, Yajun Yang, Yujia Zhang et al.

Disentangled Contrastive Bundle Recommendation with Conditional Diffusion

Jiuqiang Li

Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training

Bhavna Gopal, Huanrui Yang, Jingyang Zhang et al.

Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization

Jianting Chen

Contrastive Representation for Interactive Recommendation

Jingyu Li, Zhiyong Feng, Dongxiao He et al.

A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering

Lucas Fabian Naumann, Jannik Irmai, Bjoern Andres

Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation

Junwei Zhang, Xiaolin Li

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation

Hongxuan Zhang, Yao Zhao, Jiaqi Zheng et al.

Efficient Noise Calculation in Deep Learning-based MRI Reconstructions

Onat Dalmaz, Arjun Desai, Reinhard Heckel et al.

Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination

Lingdu Kong, Xiaochun Yang, Tieying Li et al.

ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems

Taeho Kim, Hyeongjun Jang, Juwon Yu et al.

Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?

Wendong Zheng, Junyang Chen, Husheng Guo et al.

Probably Approximately Global Robustness Certification

Peter Blohm, Patrick Indri, Thomas Gärtner et al.

Graph Adaptive Autoregressive Moving Average Models

Moshe Eliasof, Alessio Gravina, Andrea Ceni et al.

ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning

MYUNG-SIK CHO, Jong Eui Park, Jeonghye Kim et al.

Efficient Cross-Episode Meta-RL

Gresa Shala, André Biedenkapp, Pierre Krack et al.

Understanding the difficulties of posterior predictive estimation

Abhinav Agrawal, Justin Domke

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate

Jiazheng Jing, Yinan Zhang, Chunyan Miao

Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency

Qifan Liang, Yixiang Shan, Haipeng Liu et al.

HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models

Xiongnan Jin, Zhilin Wang, Jinpeng Chen et al.

Auto Encoding Neural Process for Multi-interest Recommendation

Yiheng Jiang, Yuanbo Xu, Yongjian Yang et al.

Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations

Dong Un Kang, Hayeon Kim, Se Young Chun

Time Series Supplier Allocation via Deep Black-Litterman Model

Xinke Jiang, Wentao Zhang, Yuchen Fang et al.

Optimizing Test-Time Compute via Meta Reinforcement Finetuning

Yuxiao Qu, Matthew Yang, Amrith Setlur et al.

Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution

Yuwen Ji, Wenbo Xie, Jiaqi Zhang et al.

Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting

Chen Huang, Skyler Seto, Hadi Pouransari et al.

Bridging Protein Sequences and Microscopy Images with Unified Diffusion Models

Dihan Zheng, Bo Huang

Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation

Jun Hu, Bryan Hooi, Bingsheng He et al.

MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction

Dongsheng Hong, Chao Chen, Xujia Li et al.

ContraDiff: Planning Towards High Return States via Contrastive Learning

Yixiang Shan, Zhengbang Zhu, Ting Long et al.

Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction

Sicheng He, Junzhong Ji, Minglong Lei

Mind the Gap: A Practical Attack on GGUF Quantization

Kazuki Egashira, Robin Staab, Mark Vero et al.

Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation

Shuwei Gong, Yuting Liu, Yizhou Dang et al.

Mixed-Curvature Multi-Modal Knowledge Graph Completion

Yuxiao Gao, Fuwei Zhang, Zhao Zhang et al.

Backdoor Attacks in Token Selection of Attention Mechanism

Yunjuan Wang, Raman Arora

Optimal Fair Learning Robust to Adversarial Distribution Shift

Sushant Agarwal, Amit Jayant Deshpande, Rajmohan Rajaraman et al.

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

Qiang Gao, Zizheng Wang, Li Huang et al.

Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees

Nate Veldt, Thomas Stanley, Benjamin Priest et al.

What Has a Foundation Model Found? Inductive Bias Reveals World Models

Keyon Vafa, Peter Chang, Ashesh Rambachan et al.

High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions

Ruiyuan Huang, Zengfeng Huang

Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System

Feng Gao, Xin Zhou, Yinning Shao et al.

Circumventing Backdoor Space via Weight Symmetry

Jie Peng, Hongwei Yang, Jing Zhao et al.

Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback

Simone Drago, Marco Mussi, Alberto Maria Metelli

Global Attribute-Association Pattern Aggregation for Graph Fraud Detection

Mingjiang Duan, Da He, Tongya Zheng et al.

Off-Policy Evaluation under Nonignorable Missing Data

Han Wang, Yang Xu, Wenbin Lu et al.

On Finding Hubs in High Dimensions with Sampling

Huiwen Dong, Linghan Zeng, Zhiwen Zhao et al.

Self-supervised Adversarial Purification for Graph Neural Networks

Woohyun Lee, Hogun Park

The Case for Learned Provenance-based System Behavior Baseline

Yao Zhu, Zhenyuan LI, yangyang wei et al.

Computing Voting Rules with Improvement Feedback

Evi Micha, Vasilis Varsamis

Restating the Proof of Linear Convergence for Linear GNNs

Huayi Tang, Yuhe Guo, Yong Liu et al.

Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation

Wei Dai, Kai Hwang, Jicong Fan

ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect

Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak et al.

STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification

Hengrui Lou, Zunlei Feng, Jinsong Geng et al.

Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification

Wen Wen, Han Li, Tieliang Gong et al.

In-context Prompt-augmented Micro-video Popularity Prediction

Zhangtao Cheng, Jiao Li, Jian Lang et al.

Descriptive and Discriminative Document Identifiers for Generative Retrieval

Jiehan Cheng, Zhicheng Dou, Yutao Zhu et al.

Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling

Yuxin Chen, Fangru Lin, Jingyi Huo et al.

Overfill: Two-Stage Models for Efficient Language Model Decoding

Woojeong Kim, Junxiong Wang, Jing Nathan Yan et al.

LLM-based Multi-Agents System Attack via Continuous Optimization with Discrete Efficient Search

Weichen Yu, Kai Hu, Tianyu Pang et al.

The Role of Sparsity for Length Generalization in LLMs

Noah Golowich, Samy Jelassi, David Brandfonbrener et al.

Selective Preference Aggregation

Shreyas Kadekodi, Hayden McTavish, Berk Ustun

ZipAR: Parallel Autoregressive Image Generation through Spatial Locality

Yefei He, Feng Chen, Yuanyu He et al.

LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs

Kai Chen, Xin Song, Ye Wang et al.

DSBRouter: End-to-end Global Routing via Diffusion Schr\"{o}dinger Bridge

Liangliang Shi, Shenhui Zhang, Xingbo Du et al.

Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning

Jiajie Chen, Yu Sang, Peng-Fei Zhang et al.

Semi-Parametric Retrieval via Binary Bag-of-Tokens Index

Jiawei Zhou, Li Dong, Furu Wei et al.

Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment

Jinshan Zeng, Xianglong Yu, Xianchao Tong et al.

Almost Optimal Fully Dynamic $k$-Center Clustering with Recourse

Sayan Bhattacharya, Martín Costa, Ermiya Farokhnejad et al.

Efficient Network Automatic Relevance Determination

Hongwei Zhang, Ziqi Ye, Xinyuan Wang et al.

Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification

Jie Wen, Yadong Liu, Zhanyan Tang et al.

HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks

Julia Gusak, Xunyi Zhao, Théotime Le Hellard et al.

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation

Hongwei Yuan, Xiu Tang, Ke Chen et al.

Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum

Wei Ai, Fuchen Zhang, Yuntao Shou et al.

H-Tuning: Toward Low-Cost and Efficient ECG-based Cardiovascular Disease Detection with Pre-Trained Models

Rushuang Zhou, Yuanting Zhang, Yining Dong

Schwarz–Schur Involution: Lightspeed Differentiable Sparse Linear Solvers

Yu Wang, Mazdak Abulnaga, Yaël Balbastre et al.

Motif-aware Graph Neural Networks for Networked Time Series Imputation

Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme

Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models

Quan Nguyen, Minh Vu, Truc Nguyen et al.

Tensor Decomposition Based Memory-Efficient Incremental Learning

Yuhang Li, Guoxu Zhou, Zhenhao Huang et al.

Learning View-invariant World Models for Visual Robotic Manipulation

Jing-Cheng Pang, Nan Tang, Kaiyuan Li et al.

On the Modelling of Constraints with Tractable Logical Operators

Ruiwei Wang, Roland H. C. Yap

Solving Higher-Order Quantified Boolean Satisfiability via Higher-Order Model Checking

Hiroshi Unno, Takeshi Tsukada, Jie-Hong Roland Jiang

GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation

Yi Cai, Thibaud Ardoin, Gerhard Wunder

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation

Yaowenhu, Wenxuan Tu, Yue Liu et al.

Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network

Yuta Shikuri

Computationally Hard Problems Are Hard for QBF Proof Systems Too

Agnes Schleitzer, Olaf Beyersdorff

Towards Real-Time Approximate Counting

Yash Pote, Kuldeep S. Meel, Jiong Yang

Concept Reachability in Diffusion Models: Beyond Dataset Constraints

Marta Aparicio Rodriguez, Xenia Miscouridou, Anastasia Borovykh

Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph

Zhiqiang Wang, Jianghao Wen, Jianqing Liang

Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review

Kai Lu, Shixiong Xu, Jinqiu Li et al.

Grounding Multimodal Large Language Model in GUI World

Weixian Lei, Difei Gao, Mike Zheng Shou

An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions

Yuhan Ye, Ying Cui, Jingyi Wang

Federated Causal Structure Learning with Non-identical Variable Sets

Yunxia Wang, Fuyuan CAO, Kui Yu et al.

Boosting Protein Graph Representations through Static-Dynamic Fusion

Pengkang Guo, Bruno Correia, Pierre Vandergheynst et al.

FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program

Yi-Xiang Hu, Feng Wu, Shaoang Li et al.

Parameterized Complexity of Caching in Networks

Robert Ganian, Fionn Mc Inerney, Dimitra Tsigkari

DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent

Dingbo Yuan, Yipeng Chen, Guodong Liu et al.

Online Differentially Private Conformal Prediction for Uncertainty Quantification

Are High-Quality AI-Generated Images More Difficult for Models to Detect?

Yao Xiao, Binbin Yang, Weiyan Chen et al.

Proof Simulation via Round-based Strategy Extraction for QBF

Leroy Chew

Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning

Lang Pu, Jingjing Gu, Chao Lin et al.

GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC

Xingdi Chen, Kai Yang

Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin

Yuchen Wang, Xuefeng Bai, Xiucheng Li et al.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning

Daechul Ahn, San Kim, Jonghyun Choi

Linear Equations with Min and Max Operators: Computational Complexity

Krishnendu Chatterjee, Ruichen Luo, Raimundo Saona et al.

Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound

Cătălin E. Brița, Jacobus G. M. van der Linden, Emir Demirović

Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models

Mehmet Yiğit Balık, Maksim Sinelnikov, Priscilla Ong et al.

Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning

Swann Bessa, Darius Dabert, Max Bourgeat et al.

SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services

Hongcheng Guo, Yue Wang, Shaosheng Cao et al.

Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition

Chong Zhang, Peng Zhang, Mengke Li

L-Man: A Large Multi-modal Model Unifying Human-centric Tasks

Jialong Zuo, Ying Nie, Tianyu Guo et al.

Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference

Yusuke Yamasaki, Kenta Niwa, Daiki Chijiwa et al.

Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning

Zhenfeng Zhuang, Min Cen, Yanfeng Li et al.

Reassessing EMNLP 2024’s Best Paper: Does Divergence-Based Calibration for MIAs Hold Up?

Pratyush Maini, Anshuman Suri

PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering

Xuqian Xue, Yiming Lei, Qi Cai et al.

Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints

Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni et al.

Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression

Amit Chakrabarti, Jeffrey Jiang, David Woodruff et al.

Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time

XIAOXUAN HAN, Songlin Yang, Wei Wang et al.

A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization

Jiaying Zhu, Dong Li, Xueyang Fu et al.

Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction

Ankit Ghosh, Gargee Kashyap, Sarthak Mittal et al.

GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions

Ziqi Zhou, Weize Quan, Hailin Shi et al.

An Exemplar-based Framework for Chinese Text Recognition

Zhao Zhou, Xiangcheng Du, Yingbin Zheng et al.

Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning

Boyuan Wu, wang, Xianwei Lin et al.

Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning

Zhao Zhou, Weizhong Zhang, Xiangcheng Du et al.

Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching

Zhao Zhou, Yiqun Wang, Weizhong Zhang et al.

Do Biased Models Have Biased Thoughts?

Swati Rajwal, Shivank Garg, Reem Abdel-Salam et al.

Improving Generalization of Deep Neural Networks by Optimum Shifting

Yuyan Zhou, Ye Li, Lei Feng et al.

Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization

Xingzhi Zhou, Zhiliang Tian, Boyang Zhang et al.

Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction

Qingyang Zhou, Yunfan Ye, Zhiping Cai

The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback

Côme Fiegel, Pierre Menard, Tadashi Kozuno et al.

Enhancing Spectral GNNs: From Topology and Perturbation Perspectives

Taoyang Qin, Ke-Jia CHEN, Zheng Liu

Bayesian Inference for Correlated Human Experts and Classifiers

Markelle Kelly, Alex Boyd, Samuel Showalter et al.

GLIC: General Format Learned Image Compression

MingSheng Zhou, MingMing Kong

Improving LLMs‘ Generalized Reasoning Abilities by Graph Problems

Qifan Zhang, Nuo Chen, Zehua Li et al.

Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion

Yiming Sun, Xin Li, Pengfei Zhu et al.

SceneX: Procedural Controllable Large-Scale Scene Generation

Mengqi Zhou, Yuxi Wang, Jun Hou et al.

Multi-modal Learning: A Look Back and the Road Ahead

Divyam Madaan, Sumit Chopra, Kyunghyun Cho

OW-VAP: Visual Attribute Parsing for Open World Object Detection

Xing Xi, Xing Fu, Weiqiang Wang et al.

Differentiable Structure Learning with Ancestral Constraints

Taiyu Ban, Changxin Rong, Xiangyu Wang et al.

Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery

Jiaying Zhou, Qingchao Chen

Core-to-Global Reasoning for Compositional Visual Question Answering

Hao Zhou, Tingjin Luo, Zhangqi Jiang

DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning

Guojin Zhong, Jinhong Hu, Jiajun Chen et al.

MMPF: Multi-Modal Perception Framework for Abnormal Medical Condition Detection

Chuyi Zhong, Dingkang Yang, Peng Zhai et al.

Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction

YinFeng Chen, Jin Liu, Rui Qiu

Demystifying Long Chain-of-Thought Reasoning

Edward Yeo, Yuxuan Tong, Xinyao Niu et al.

When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data

Rongjia Zheng, Qing Zhang, Yongwei Nie et al.

Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models

Aniruddha Kembhavi, Mohit Bansal, Amita Kamath et al.

Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao et al.

Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation

Kexin Zheng, Haifeng Xia, Siyu Xia et al.

Heterogeneous Sufficient Dimension Reduction and Subspace Clustering

Lei Yan, Xin Zhang, Qing Mai

PHR-DIFF: Portrait Highlights Removal via Patch-aware Diffusion Model

Hongsheng Zheng, Zhongyun Bao, Gang Fu et al.

HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking

Zeyong Zhao, Yanchao Hao, Minghao Zhang et al.

Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach

Chenyin Gao, Peter Gilbert, Larry Han