Most Cited AAAI "dynamic channel-patch masking" Papers

Efficient Constrained K-center Clustering with Background Knowledge

Longkun Guo, Chaoqi Jia, Kewen Liao et al.

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Andreas Grivas, Antonio Vergari, Adam Lopez

Detection and Defense of Unlearnable Examples

Yifan Zhu, lijia Yu, Xiao-Shan Gao

MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information

Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang

Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits

Qingsong Liu, Zhixuan Fang

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Zhichen Zeng, Boxin Du, Si Zhang et al.

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach

Yu Wang, Yuxuan Yin, Karthik Somayaji NS et al.

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation

Angxiao Yue, Dixin Luo, Hongteng Xu

3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands

Xuan Huang, Hanhui Li, Zejun Yang et al.

New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem

Koji Ichikawa, Shinji Ito, Daisuke Hatano et al.

Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm

Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou et al.

CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design

Yanxuan Zhao, Peng Zhang, Guopeng Sun et al.

Universal Weak Coreset

Ragesh Jaiswal, Amit Kumar

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

Minqin Zhu, Anpeng Wu, Haoxuan Li et al.

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations

Guojun Xiong, Gang Yan, Shiqiang Wang et al.

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction

Yemin Yu, Luotian Yuan, Ying WEI et al.

Robust Visual Imitation Learning with Inverse Dynamics Representations

Siyuan Li, Xun Wang, Rongchang Zuo et al.

Offline Model-Based Optimization via Policy-Guided Gradient Search

Yassine Chemingui, Aryan Deshwal, Nghia Hoang et al.

Generator Assisted Mixture of Experts for Feature Acquisition in Batch

Vedang Asgaonkar, Aditya Jain, Abir De

MemoryBank: Enhancing Large Language Models with Long-Term Memory

Wanjun Zhong, Lianghong Guo, Qiqi Gao et al.

Formal Logic Enabled Personalized Federated Learning through Property Inference

Ziyan An, Taylor Johnson, Meiyi Ma

Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption

Adil Nawaz, Guopeng Chen, Muhammad Umair Raza et al.

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova et al.

CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification

Kaitao Chen, Shiliang Sun, Jing Zhao

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior

Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

Approximation Scheme for Weighted Metric Clustering via Sherali-Adams

Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev et al.

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models

Maitreya Patel, Tejas Gokhale, Chitta Baral et al.

Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs

Seungjun Lee, TaeIL Oh

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

Jiayu Chen, Zelai Xu, Yunfei Li et al.

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation

Xiaobin Huang, Lei Song, Ke Xue et al.

No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning

Dianyu Zhong, Yiqin Yang, Qianchuan Zhao

$z$-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning

Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang

Contextual Pandora’s Box

Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli et al.

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

Kwang In Kim

Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality

Guipeng Lan, Shuai Xiao, Jiachen Yang et al.

Taming Binarized Neural Networks and Mixed-Integer Programs

Johannes Aspman, Georgios Korpas, Jakub Marecek

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

Jianhao Ding, Zhaofei Yu, Tiejun Huang et al.

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective

Binwu Wang, Pengkun Wang, Yudong Zhang et al.

A Closer Look at Curriculum Adversarial Training: From an Online Perspective

Lianghe Shi, Weiwei Liu

Provably Convergent Federated Trilevel Learning

Yang Jiao, Kai YANG, Tiancheng Wu et al.

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Jiwoo Son, Minsu Kim, Sanghyeok Choi et al.

DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing

Conglong Li, Zhewei Yao, Xiaoxia Wu et al.

Dynamic Knowledge Injection for AIXI Agents

Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

Principal-Agent Reward Shaping in MDPs

Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz et al.

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection

Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation

A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities

Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining

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

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Mixed-Effects Contextual Bandits

Weiwei Xiao, Yongyong Chen, Qiben Shan et al.

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective

Zhen Qin, Feiyi Chen, Chen Zhi et al.

Transportable Representations for Domain Generalization

Kasra Jalaldoust, Elias Bareinboim

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

Hao-Kai Zhang, Chengkai Zhu, Geng Liu et al.

MFOS: Model-Free & One-Shot Object Pose Estimation

JongMin Lee, Yohann Cabon, Romain Brégier et al.

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning

Jiangmeng Li, Yifan Jin, Hang Gao et al.

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin et al.

Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization

Yongyi Su, Xun Xu, Kui Jia

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes et al.

DRF: Improving Certified Robustness via Distributional Robustness Framework

Zekai Wang, Zhengyu Zhou, Weiwei Liu

Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning

Ruiqian Nai, Zixin Wen, Ji Li et al.

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye et al.

Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.

Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model

Zhenyu Xie, Yang Wu, Xuehao Gao et al.

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

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

HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning

Hongbin Pei, Taile Chen, Chen A et al.

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale

Randy Ardywibowo, Rakesh Sunki, Shin Tsz Lucy Kuo et al.

External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection

Biwei Cao, Qihang Wu, Jiuxin Cao et al.

CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection

Jie Chen, Liangmin Wang, Huijuan Zhu et al.

ReactGPT: Understanding of Chemical Reactions via In-Context Tuning

Zhe Chen, Zhe Fang, Wenhao Tian et al.

4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance

Kaihui Cheng, Ce Liu, Qingkun Su et al.

G2LDetect: A Global-to-Local Approach for Hallucination Detection

Xiaoxia Cheng, Zeqi Tan, Zhe Zheng et al.

CryoDomain: Sequence-free Protein Domain Identification from Low-resolution Cryo-EM Density Maps

Muzhi Dai, Zhuoer Dong, Weining Fu et al.

Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning

Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao et al.

Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association

Chao Deng, Hongdong Li, Jianxin Wang

RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction

Zhihao Ding, Ting Zhang, Yiran Li et al.

Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis

Zhiang Dong, Jingyuan Chen, Fei Wu

A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation

Daniel Freedman, Eyal Rozenberg, Alex Bronstein

Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection

Hao Guo, Zihan Ma, Zhi Zeng et al.

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning

Rong Han, Wenbing Huang, Lingxiao Luo et al.

Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning

Zehua Han, Jing Xiao, Qirui Zhao et al.

HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network

Qiang He, Yunting Bao, Hui Fang et al.

Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory

Sizhuo Jin, Shuo Chen, Jianjun Qian et al.

IWRN:A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack

Feifei Kou, Yuhan Yao, Siyuan Yao et al.

Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models

Haoran Li, Yulin Chen, Zihao Zheng et al.

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

Junxian Li, Di Zhang, Xunzhi Wang et al.

Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection

Kai Li, Wenqi Ren, Jianshu Li et al.

AI-Powered Algorithm-Centric Quantum Processor Topology Design

Tian Li, Xiao-Yue Xu, Chen Ding et al.

Enhancing the Adversarial Robustness via Manifold Projection

Zhiting Li, Shibai Yin, Tai-Xiang Jiang et al.

Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity

Zhufeng Li, Sandeep Suresh Cranganore, Nicholas Youngblut et al.

Controllable Protein Sequence Generation with LLM Preference Optimization

Xiangyu Liu, Yi Liu, Silei Chen et al.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning

Yupei Liu, Yanting Wang, Jinyuan Jia

BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking

Yuxuan Liu, Hongda Sun, Wenya Guo et al.

DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection

Weihai Lu, Yu Tong, Zhiqiu Ye

GenAL: Generative Agent for Adaptive Learning

Rui Lv, Qi Liu, Weibo Gao et al.

M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity

Tianxu Lv, Jie Zhu, Jinyi Liu et al.

Number Theoretic Accelerated Learning of Physics-Informed Neural Networks

Takashi Matsubara, Takaharu Yaguchi

Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy

Jian-Ping Mei, Weibin Zhang, Jie Chen et al.

Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning

Hui Miao, Yuanfang Guo, Zeming Liu et al.

SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning

Li Ni, Rui Ye, Wenjian Luo et al.

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting

Gaozheng Pei, Shaojie Lyu, Ke Ma et al.

A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Kailei Guo et al.

Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation

Xing Qiu, Guang Cheng, Weizhou Zhu et al.

Towards Better Robustness Against Natural Corruptions in Document Tampering Localization

Huiru Shao, Kaizhu Huang, Wei Wang et al.

SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis

Yi Shi, Yun-Kai Wang, Xu-Peng Tian et al.

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting

Feng Shibo, Peilin Zhao, Liu Liu et al.

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining

Xiaozhuang Song, Yuzhao Tu, Hangting Ye et al.

Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts

Lei Tan, Yuliang Xue, Guobiao Li et al.

PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration

Jia Wang, Liyan Zhu, Zhe Wang et al.

VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy

Ruoqi Wang, Haitao Wang, Qiong Luo et al.

FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask

Xiaozheng Wang, Yong Yang, Shuying Huang et al.

Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training

Yueqing Wang, Peng Zhang, Yushuang Liu et al.

Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling

Fang Wu, Bozhen Hu, Stan Z. Li

Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness

Juntao Wu, Ziyu Song, Xiaoyu Zhang et al.

MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay

Zeke Xia, Ming Hu, Dengke Yan et al.

Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation

Xovee Xu, Yifan Zhang, Fan Zhou et al.

DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations

Yongxin Xu, Xinke Jiang, Xu Chu et al.

PriFold: Biological Priors Improve RNA Secondary Structure Predictions

Chenchen Yang, Hao Wu, Tao Shen et al.

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting

Tong Ye, Yangkai Du, Tengfei Ma et al.

Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location

Na Yu, Yutong Deng, Shunyu Liu et al.

Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization

Zeqin Yu, Jiangqun Ni, Jian Zhang et al.

Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning

Wenwu Zeng, Liangrui Pan, Boya Ji et al.

SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates

Xi Zeng, Fei Ni, Shaoqing Jiao et al.

Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference

Jiangou Zhan, Wenhui Zhang, Zheng Zhang et al.

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection

Chaowei Zhang, Zongling Feng, Zewei Zhang et al.

BERT-Based Code Learning for Exception Localization and Type Prediction

Chongyu Zhang, Qiping Tao, Liangyu Chen et al.

Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model

Haozhen Zhang, Haodong Yue, Xi Xiao et al.

Efficient Traffic Prediction Through Spatio-Temporal Distillation

Qianru Zhang, Xinyi Gao, Haixin Wang et al.

Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction

Ran Zhang, Xuezhi Wang, Guannan Liu et al.

TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting

Shiqi Zhang, Pan Mu, Cheng Huang et al.

Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network

Xiongqi Zhang, Junwei Xu, Yang Wang et al.

Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting

Yudong Zhang, Xu Wang, Xuan Yu et al.

A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy

Zhenbang Zhang, Hongjia Li, Zhiqiang Xu et al.

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model

Guanhao Zhao, Zhenya Huang, Cheng Cheng et al.

DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement

Qihua Zhou, Ruibin Li, Jingcai Guo et al.

Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection

Linlin Zong, Wenmin Lin, Jiahui Zhou et al.

Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations

Xuping Chen, Wuzhen Shi

Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency

Yuhong Chen, Ailin Song, Huifeng Yin et al.

SocialSim: Towards Socialized Simulation of Emotional Support Conversation

Zhuang Chen, Yaru Cao, Guanqun Bi et al.

Symbolic Functional Decomposition: A Reconfiguration Approach

Mateus de Oliveira Oliveira, Wim Van Den Broeck

SS-GEN: A Social Story Generation Framework with Large Language Models

Yi Feng, Mingyang Song, Jiaqi Wang et al.

MSAmba: Exploring Multimodal Sentiment Analysis with State Space Models

Xilin He, Haijian Liang, Boyi Peng et al.

CraftFactory: A Conditioned Control Policy Benchmark for Compositional Generalization

Jinbing Hou, Youpeng Zhao, Jian Zhao

AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection

Zihan Ji, Xuetao Tian, Ye Liu

Deep Reinforcement Learning with Time-Scale Invariant Memory

Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj

MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images

Jingmeng Li, Lukang Fu, Surun Yang et al.

Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis

Yinan Li, Jun Long, Zhan Yang

Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism

Yu Liang, Wenjie Wei, Ammar Belatreche et al.

Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision

Wei Liu, Li Yang, Mingxuan Zhao et al.

Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning

Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu et al.

SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks

Wei Miao, Jiangrong Shen, Qi Xu et al.

MuMA-ToM: Multi-modal Multi-Agent Theory of Mind

Haojun Shi, Suyu Ye, Xinyu Fang et al.

ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind

Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida et al.

Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data

Yuxuan Song, Qiudan Li, Yilin Wu et al.

Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset

Bin Tang, Ke-Qi Pan, Miao Zheng et al.

A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis

Chuanqi Tao, Jiaming Li, Tianzi Zang et al.

Alignment of CNN and Human Judgments of Geometric and Topological Concepts

Neha Upadhyay, Vijay Marupudi, Kamala Varma et al.

DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy

Miaohui Wang, Zhenming Li, Wuyuan Xie

BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations

Yusong Wang, Xuanye Fang, Huifeng Yin et al.

Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier

Zachary Wojtowicz, Simon DeDeo

DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment

Zijian Wu, Leijing Zhou, Shuanglin Li et al.

Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing

DingYi Zeng, Yuchen Wang, Honglin Cao et al.

Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization

Miao Zhang, Jiawei Wang, Kui Xiao et al.

SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention

Chunyu Zhao, Wentao Mu, Xian Zhou et al.

Look Around Before Locating: Considering Content and Structure Information for Visual Grounding

Shiyi Zheng, Peizhi Zhao, Zhilong Zheng et al.

PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation

Hengde Zhu, Xiangyu Kong, Weicheng Xie et al.

Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation

Jiankun Zhu, Sicheng Zhao, Jing Jiang et al.

Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios

Linlin Zhu, Heli Sun, Qunshu Gao et al.

Progressive Self-Learning for Domain Adaptation on Symbolic Regression of Integer Sequences

Yaohui Zhu, Kaiming Sun, Zhengdong Luo et al.

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation

Han Yang, Chuanguang Yang, Zhulin An et al.

AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification

Shivang Agarwal, Jyoti Chaudhary, Sadiq Siraj Ebrahim et al.

AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation

Jingkun An, Yinghao Zhu, Zongjian Li et al.

CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction

Yajun An, Jiale Chen, Huan Lin et al.

HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models

Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos et al.

Can Generative Models Improve Self-Supervised Representation Learning?

Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani et al.

The Master Key Filters Hypothesis: Deep Filters Are General

Zahra Babaiee, Peyman M. Kiasari, Daniela Rus et al.

Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers

Lichen Bai, Zixuan Xiong, Hai Lin et al.

Plug-and-Play Tri-Branch Invertible Block for Image Rescaling

Jingwei Bao, Jinhua Hao, Pengcheng Xu et al.

Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis

Jian Bi, Qianliang Wu, Jianjun Qian et al.

Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination

Qi Bi, Jingjun Yi, Haolan Zhan et al.

CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training

Xiuli Bi, Jian Lu, Bo Liu et al.

FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing

Lingling Cai, Kang Zhao, Hangjie Yuan et al.

Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval

Rui Cai, Zhiyu Dong, Jianfeng Dong et al.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue

Shuo Cai, Xinzhe Han, Shuhui Wang

Object-level Geometric Structure Preserving for Natural Image Stitching

Wenxiao Cai, Wankou Yang

Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model

Cong Cao, Huanjing Yue, Xin Liu et al.

ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects

Qihang Cao, Huangxun Chen

Deep Graph Online Hashing for Multi-Label Image Retrieval

Yuan Cao, Xiangru Chen, Zifan Liu et al.

Segment Any 3D Gaussians

Jiazhong Cen, Jiemin Fang, Chen Yang et al.

KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences

Keng-Wei Chang, Zi-Ming Wang, Shang-Hong Lai

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language

Qikai Chang, Mingjun Chen, Changpeng Pi et al.

Sharpening Neural Implicit Functions with Frequency Consolidation Priors

Chao Chen, Yu-Shen Liu, Zhizhong Han

MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts

Dongpan Chen, Dehui Kong, Jinghua Li et al.

Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion

Haipeng Chen, Yuheng Yang, Yingda Lyu

Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation

Haipeng Chen, Sifan Wu, Zhigang Wang et al.

Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification

Jie Chen, Xinyuan Liu, Xintong Liu et al.

Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization

Kehua Chen, Zhenlong Yuan, Tianlu Mao et al.