Most Cited AAAI "multimodal video analysis" Papers
5,317 papers found • Page 23 of 27
Conference
Fair Text-to-Image Diffusion via Fair Mapping
Jia Li, Lijie Hu, Jingfeng Zhang et al.
ScreenMark: Watermarking Arbitrary Visual Content on Screen
Xiujian Liang, Gaozhi Liu, Yichao Si et al.
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
Youngsun Lim, Hojun Choi, Hyunjung Shim
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
Xuan Liu, Siqi Cai, Qihua Zhou et al.
Fairness-Accuracy Trade-Offs: A Causal Perspective
Drago Plecko, Elias Bareinboim
Provably Secure Image Robust Steganography via Cross-modal Error Correction
Yuang Qi, Kejiang Chen, Na Zhao et al.
FROC: Building Fair ROC from a Trained Classifier
Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar
FairTP: A Prolonged Fairness Framework for Traffic Prediction
Jiangnan Xia, Yu Yang, Jiaxing Shen et al.
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang, Jinggang Chen, Xiaoyang Qu et al.
Privacy-and-Utility-Aware Publishing of Schedules
Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak et al.
Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks
Davide Bilò, Keerti Choudhary, Sarel Cohen et al.
Temporal Numeric Planning with Patterns
Matteo Cardellini, Enrico Giunchiglia
Approximating Optimal Labelings for Temporal Connectivity
Daniele Carnevale, Gianlorenzo D'Angelo, Martin Olsen
How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs
Argyrios Deligkas, Michelle Döring, Eduard Eiben et al.
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
Joshua Holder, Natasha Jaques, Mehran Mesbahi
State Encodings for GNN-Based Lifted Planners
Rostislav Horčik, Gustav Šír, Vítězslav Šimek et al.
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
Kim van den Houten, Léon Planken, Esteban Freydell et al.
Multiple Mean-Payoff Optimization Under Local Stability Constraints
David Klaška, Antonín Kučera, Vojtěch Kůr et al.
ACPBench: Reasoning About Action, Change, and Planning
Harsha Kokel, Michael Katz, Kavitha Srinivas et al.
Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning
Alessandro La Farciola, Alessandro Valentini, Andrea Micheli
Told You That Will Not Work: Optimal Corrections to Planning Domains Using Counter-Example Plans
Songtuan Lin, Alban Grastien, Rahul Shome et al.
WEPO: Web Element Preference Optimization for LLM-based Web Navigation
Jiarun Liu, Jia Hao, Chunhong Zhang et al.
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning
Xiaotian Liu, Jihwan Jeong, Ayal Taitler et al.
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
Thomy Phan, Shao-Hung Chan, Sven Koenig
Parallel Greedy Best-First Search with a Bound on Expansions Relative to Sequential Search
Takumi Shimoda, Alex Fukunaga
Counting and Reasoning with Plans
David Speck, Markus Hecher, Daniel Gnad et al.
Inapproximability of Optimal Multi-Agent Pathfinding Problems
Xing Tan, Alban Grastien
Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation
Elisa Tosello, Alessandro Valentini, Andrea Micheli
Augmenting Online Algorithms for Knapsack Problem with Total Weight Information
Binghan Wu, Wei Bao, Bing Bing Zhou
Improved Approximation Algorithms for Clustered TSP and Subgroup Planning
Jingyang Zhao, Mingyu Xiao, Junqiang Peng et al.
A Matching-Based Algorithm for the Traveling Tournament Problem
Jingyang Zhao, Mingyu Xiao
Formal Quality Measures for Predictors in Markov Decision Processes
Christel Baier, Sascha Klüppelholz, Jakob Piribauer et al.
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
Taehun Cha, Donghun Lee
Toward Falsifying Causal Graphs Using a Permutation-Based Test
Elias Eulig, Atalanti A. Mastakouri, Patrick Blöbaum et al.
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
Simon Ferreira, Charles K. Assaad
Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement
Wuliang Huang, Yiqiang Chen, Xinlong Jiang et al.
Mediation Analysis for Probabilities of Causation
Yuta Kawakami, Jin Tian
Flow Factorization for Efficient Generative Flow Networks
Jiashun Liu, Chunhui Li, Cheng-Hao Liu et al.
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects
Hisayoshi Nanmo, Manabu Kuroki
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Resource Constrained Pathfinding with Enhanced Bidirectional A* Search
Saman Ahmadi, Andrea Raith, Guido Tack et al.
Scenario-Based Robust Optimization of Tree Structures
Spyros Angelopoulos, Christoph Dürr, Alex Elenter et al.
An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem
Baiyu Chen, Junwen Ding, Canhui Luo et al.
Fast and Slow Gradient Approximation for Binary Neural Network Optimization
Xinquan Chen, Junqi Gao, Biqing Qi et al.
Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition
Dogan Corus, Pietro S. Oliveto, Donya Yazdani
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
Arnaud Deza, Elias B. Khalil, Zhenan Fan et al.
Suboptimal Search with Dynamic Distribution of Suboptimality
Mohammadreza Hami, Nathan R. Sturtevant
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
Vu Viet Hoang, Quoc Anh Hoang Nguyen, Hung The Tran
Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels
Wenjing Hong
Faster Double Adaptive Gradient Methods
Feihu Huang, Yuning Luo
Searching for and Avoiding Hidden Sets Using Queries with Local Feedback
Tomasz Jurdzinski, Dariusz R. Kowalski
Anchor Search: A Unified Framework for Suboptimal Bidirectional Search
Sepehr Lavasani, Lior Siag, Shahaf S. Shperberg et al.
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game
Per Kristian Lehre, Shishen Lin
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
Yanjie Li, Weijun Li, Lina Yu et al.
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
Yixuan Li, Can Chen, Jiajun Li et al.
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
Heng Rao, Yu Gu, Jason Zipeng Zhang et al.
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization
Ruihao Zheng, Zhenkun Wang
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
Shipei Zhou, Yuandong Ding, Chi Zhang et al.
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets
Tomas Tokar, Scott Sanner
InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series
Viet-Hung Tran, Zichi Zhang, Tuan Dung Pham et al.
CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
David Valencia, Henry Williams, Yuning Xing et al.
CODE: Confident Ordinary Differential Editing
Bastien Van Delft, Tommaso Martorella, Alexandre Alahi
Expressive Power of Temporal Message Passing
Przemysław Andrzej Wałęga, Michael Rawson
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt
Benfeng Wang, Chao Huang, Jie Wen et al.
IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
Bin Wang, Chunyu Xie, Dawei Leng et al.
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
Da Wang, Lin Li, Wei Wei et al.
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery
Hao Wang, Biqin Song, Hao Deng et al.
IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork
Hui Wang, Renyu Yang, Jie Sun et al.
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint
Juncheng Wang, Bingjie Yan, Yituo Liu
SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation
Meng-zhu Wang
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
Mingzi Wang, Yuan Meng, Chen Tang et al.
Pre-Trained Vision-Language Models as Noisy Partial Annotators
Qian-Wei Wang, Yuqiu Xie, Letian Zhang et al.
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder
Qianqian Wang, Zihao Zhang, Wei Feng et al.
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
Qingmei Wang, Yuxin Wu, Yujie Long et al.
Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality
Qitong Wang, Tang Li, Kien X. Nguyen et al.
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement
Shanfeng Wang, Jianzhao Li, Zaitian Liu et al.
Text2Data: Low-Resource Data Generation with Textual Control
Shiyu Wang, Yihao Feng, Tian Lan et al.
Set-Valued Sensitivity Analysis of Deep Neural Networks
Xin Wang, Feilong Wang, Xuegang (Jeff) Ban
Quantum Best Arm Identification with Quantum Oracles
Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade et al.
Multi-label Self Knowledge Distillation
Xucong Wang, Pengkun Wang, Shurui Zhang et al.
Revisiting Projection-Free Online Learning with Time-Varying Constraints
Yibo Wang, Yuanyu Wan, Lijun Zhang
Dimension Reduction with Locally Adjusted Graphs
Yingfan Wang, Yiyang Sun, Haiyang Huang et al.
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
Zhiqiang Wang, Jiayu Guo, Jianqing Liang et al.
Generalization of Graph Neural Networks Is Robust to Model Mismatch
Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering
Zhongwen Wang, Xingfeng Li, Yinghui Sun et al.
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens
Zichen Wang, Feng Yan, Tianyi Wang et al.
Multi-Instance Multi-Label Classification from Crowdsourced Labels
Ziquan Wang, Mingxuan Xia, Xiangyu Ren et al.
FlexPose: Pose Distribution Adaptation with Limited Guidance
Zixiao Wang, Junwu Weng, Mengyuan Liu et al.
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
Kun Wei, Zhe Xu, Cheng Deng
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack
Qi Wei, Shuo He, Jiahan Zhang et al.
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
Yongyan Wen, Siyuan Li, Rongchang Zuo et al.
Measuring Cross-Modal Interactions in Multimodal Models
Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski et al.
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik et al.
Fully-Scalable Massively Parallel Algorithm for k-center with Outliers
Di Wu, Qilong Feng, Junyu Huang et al.
Revisiting Attention for Multivariate Time Series Forecasting
Haixiang Wu
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
Liang Wu, Ruixi Hu, Yunwen Lei
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs
Nannan Wu, Yazheng Zhao, Hongdou Dong et al.
Spiking Point Transformer for Point Cloud Classification
Peixi Wu, Bosong Chai, Hebei Li et al.
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
Siyuan Wu, Yongzhe Jia, Bowen Liu et al.
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering
Tingting Wu, Zhendong Li, Zhibin Gu et al.
Non-Convex Tensor Recovery from Local Measurements
Tongle Wu, Ying Sun, Jicong Fan
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting
Yuhan Wu, Xiyu Meng, Huajin Hu et al.
ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction
Zhixiao Wu, Yao Lu, Jie Wen et al.
Hierarchical Consensus Network for Multiview Feature Learning
Chengwei Xia, Chaoxi Niu, Kun Zhan
Clean-Label Graph Backdoor Attack in the Node Classification Task
Hui Xia, Xiangwei Zhao, Rui Zhang et al.
FIND: A Framework for Discovering Formulas in Data
Tingxiong Xiao, Yuxiao Cheng, Jinli Suo
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework
Wei Xiao, Hongbin Wang, Ming He et al.
Multi-Subspace Matrix Recovery from Permuted Data
Liangqi Xie, Jicong Fan
One Node One Model: Featuring the Missing-Half for Graph Clustering
Xuanting Xie, Bingheng Li, Erlin Pan et al.
Flexible Sharpness-Aware Personalized Federated Learning
Xinda Xing, Qiugang Zhan, Xiurui Xie et al.
Pilot: Building the Federated Multimodal Instruction Tuning Framework
Baochen Xiong, Xiaoshan Yang, Yaguang Song et al.
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
Haonan Xu, Yang Yang
Textualize Visual Prompt for Image Editing via Diffusion Bridge
Pengcheng Xu, Qingnan Fan, Fei Kou et al.
Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints
Qinfu Xu, Yiwei Wei, Chunlei Wu et al.
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?
Yanchen Xu, Siqi Huang, Hongyuan Zhang et al.
Clustering by Mining Density Distributions and Splitting Manifold Structure
Zhichang Xu, Zhiguo Long, Hua Meng
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
Bo Xue, Xi Lin, Xiaoyuan Zhang et al.
Adaptive Market Making with Inventory Constraints via Online Learning
Shan Xue, Ye Du, Liang Xu
Tensorized Label Learning Based Fast Fuzzy Clustering
Xingyu Xue, Jingjing Xue, Quanxue Gao et al.
Explanation Bottleneck Models
Shin'ya Yamaguchi, Kosuke Nishida
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
Guochen Yan, Luyuan Xie, Xinyi Gao et al.
Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport
Yuguang Yan, Canlin Yang, Yuanlin Chen et al.
Structured IB: Improving Information Bottleneck with Structured Feature Learning
Hanzhe Yang, Youlong Wu, Dingzhu Wen et al.
Bridging Sequence-Structure Alignment in RNA Foundation Models
Heng Yang, Renzhi Chen, Ke Li
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios
Huanhuan Yang, Dianxi Shi, Songchang Jin et al.
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset
Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination
Kaicheng Yang, Tiancheng Gu, Xiang An et al.
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
Liang Yang, Zhenna Li, Jiaming Zhuo et al.
A Generalizable Anomaly Detection Method in Dynamic Graphs
Xiao Yang, Xuejiao Zhao, Zhiqi Shen
Defying Imbalanced Forgetting in Class Incremental Learning
Shixiong Xu, Gaofeng Meng, Xing Nie et al.
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection
Li Xiang, Junbo Yin, Wei Li et al.
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
Hongzhi Gao, Zheng Chen, Zehui Chen et al.
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Xu Cai, Jonathan Scarlett
Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption
Ziteng Cui, Lin Gu, Xiao Sun et al.
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting
Qihe Huang, Lei Shen, Ruixin Zhang et al.
Cross-Covariate Gait Recognition: A Benchmark
Shinan Zou, Chao Fan, Jianbo Xiong et al.
Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
Gaoxia Jiang, Jia Zhang, Xuefei Bai et al.
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
Cheng Peng, Ke Chen, Lidan Shou et al.
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
Yuchen He, Zeqing Yuan, Yihong Wu et al.
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Haibo Jin, Haoxuan Che, Yi Lin et al.
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning
Jingtao Li, Xing Chen, Li Yang et al.
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
Zelin Peng, Zhengqin Xu, Zhilin Zeng et al.
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation
Hui Fu, Zeqing Wang, Ke Gong et al.
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification
Yingfan Ma, Xiaoyuan Luo, Kexue Fu et al.
Explicit Visual Prompts for Visual Object Tracking
Liangtao Shi, Bineng Zhong, Qihua Liang et al.
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong et al.
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
Zhengqin Xu, Yulun Zhang, Chao Ma et al.
Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization
Adam Richardson, Boi Faltings
Differentiable Auxiliary Learning for Sketch Re-identification
Xingyu Liu, Xu Cheng, Haoyu Chen et al.
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
Qingyuan Cai, Xuecai Hu, Saihui Hou et al.
Rethinking Multi-Scale Representations in Deep Deraining Transformer
Hongming Chen, Xiang Chen, Jiyang Lu et al.
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
Xun Huang, Hai Wu, Xin Li et al.
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
Jihong Ouyang, Zhiyao Yang, Silong Liang et al.
Label Attentive Distillation for GNN-Based Graph Classification
Xiaobin Hong, Wenzhong Li, Chaoqun Wang et al.
Using Symmetries to Lift Satisfiability Checking
Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe et al.
Panoptic Scene Graph Generation with Semantics-Prototype Learning
Li Li, Wei Ji, Yiming Wu et al.
Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues
Bobo Li, Hao Fei, Lizi Liao et al.
ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing
Yi Dong, Yuxi Wang, Ruoxi Fan et al.
Few-Shot Neural Radiance Fields under Unconstrained Illumination
SeokYeong Lee, JunYong Choi, Seungryong Kim et al.
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
Wanying Wang, Yichen Zhu, Yirui Zhou et al.
BVT-IMA: Binary Vision Transformer with Information-Modified Attention
Zhenyu Wang, Hao Luo, Xuemei Xie et al.
Learning in Online Principle-Agent Interactions: The Power of Menus
Minbiao Han, Michael Albert, Haifeng Xu
SAT-Based Algorithms for Regular Graph Pattern Matching
Miguel Terra-Neves, José Amaral, Alexandre Lemos et al.
Dynamic Weighted Combiner for Mixed-Modal Image Retrieval
Fuxiang Huang, Lei Zhang, Xiaowei Fu et al.
MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning
Authors: Ying Mo, Jian Yang, Jiahao Liu et al.
Iterative Token Evaluation and Refinement for Real-World Super-resolution
Authors: Chaofeng Chen, Shangchen Zhou, Liang Liao et al.
CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues
Authors: Linglin Jing, Sheng Xu, Yifan Wang et al.
Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion
Authors: Rui Zhao, Ruiqin Xiong, Jian Zhang et al.
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors
Authors: Shaojie Zhang, Chun Shen, Shuai Lü et al.
MatchDet: A Collaborative Framework for Image Matching and Object Detection
Authors: Jinxiang Lai, Wenlong Wu, Bin-Bin Gao et al.
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
Authors: Mingjiang Duan, Tongya Zheng, Yang Gao et al.
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
Authors: Jichang Li, Guanbin Li, Hui Cheng et al.
patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds
Authors: Zirui Pan, Mengbai Xiao, Xu Han et al.
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
Authors: Jintao Liu, Kaiwen Wei, Chenglong Liu
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
Authors: Yuequn Liu, Ruichu Cai, Wei Chen et al.
Latent Diffusion Transformer for Probabilistic Time Series Forecasting
Authors: Shibo Feng, Chunyan Miao, Zhong Zhang et al.
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
Authors: Zihao Zhao, Sheng Wang, Qian Wang et al.
G2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection
Authors: Yiwei Wei, Shaozu Yuan, Hengyang Zhou et al.
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
Authors: Amit Jena, Dileep Kalathil, Le Xie
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization
Authors: Daizong Liu, Xiang Fang, Xiaoye Qu et al.
Dynamic Tangled Derivative Logic of Metric Spaces
Authors: David Fernández-Duque, Yoàv Montacute
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Authors: Minh-Quan Le, Tam Nguyen, Trung-Nghia Le et al.
A Hybrid Global-Local Perception Network for Lane Detection
Authors: Qing Chang, Yifei Tong
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
Authors: Wei Chen, Yuxuan Liu, Zhao Zhang et al.
COMMA: Co-articulated Multi-Modal Learning
Authors: Lianyu Hu, Liqing Gao, Zekang Liu et al.
UniADS: Universal Architecture
Distiller Search for Distillation Gap
Learning Planning Domains from Non
redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis
Sparse3D: Distilling Multiview
Consistent Diffusion for Object Reconstruction from Sparse Views
DVANet: Disentangling View and Action Features for Multi
View Action Recognition
SphereDiffusion: Spherical Geometry
Aware Distortion Resilient Diffusion Model
Toward Open
Set Human-Object Interaction Detection
MDGNN: Multi
Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
Far3D: Expanding the Horizon for Surround
View 3D Object Detection
MIND: Multi
Task Incremental Network Distillation