Most Cited AAAI "task-prompt optimization" Papers

Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging

Fulin Luo, Xi Chen, Xiuwen Gong et al.

Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification

YuTeng Ye, Hang Zhou, Jiale Cai et al.

Exploiting Auxiliary Caption for Video Grounding

Hongxiang Li, Meng Cao, Xuxin Cheng et al.

Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering

Yifan Lu, Yigeng Zhou, Jing Li et al.

PNVC: Towards Practical INR-based Video Compression

Ge Gao, Ho Man Kwan, Fan Zhang et al.

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

Mohsin Hasan, Guojun Zhang, Kaiyang Guo et al.

Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints

Ming Dai, Jian Li, Jiedong Zhuang et al.

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation

Jingxuan He, Lechao Cheng, Chaowei Fang et al.

Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation

Zhaofan Zhang, Yanan Xiao, Lu Jiang et al.

Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning

Xiao Du, Yutong Ye, Pengyu Zhang et al.

HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models

Pei Lin

Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training

Longtian Qiu, Shan Ning, Xuming He

M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking

Jiaming Liu, Yue Wu, Maoguo Gong et al.

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting

Jingru Fei, Kun Yi, Wei Fan et al.

Boosting Segment Anything Model Towards Open-Vocabulary Learning

Xumeng Han, Longhui Wei, Xuehui Yu et al.

Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning

Authors: Jiang-Tian Zhai, Xialei Liu, Lu Yu et al.

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent

Generalizing across Temporal Domains with Koopman Operators

QIUHAO Zeng, Wei Wang, Fan Zhou et al.

Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning

Yanqi Ge, Qiang Nie, Ye Huang et al.

Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery

Jialu Zhang, Xiaoying Yang, Wentao He et al.

CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion

Yunlong Tang, Gen Zhan, Li Yang et al.

Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution

Yutao Yuan, Chun Yuan

OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving

Tianyi Yan, Junbo Yin, Xianpeng Lang et al.

Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts

Lihu Chen, Adam Dejl, Francesca Toni

Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck

Van Thuy Hoang, O-Joun Lee

Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training

Jianwu Li, Kaiyue Shi, Guo-Sen Xie et al.

AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing

Zhiyuan Ma, Guoli Jia, Bowen Zhou

Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning

Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang

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

Zhiang Dong, Jingyuan Chen, Fei Wu

DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo

Zhenlong Yuan, Jinguo Luo, Fei Shen et al.

Federated Causality Learning with Explainable Adaptive Optimization

Dezhi Yang, Xintong He, Jun Wang et al.

Object-level Geometric Structure Preserving for Natural Image Stitching

Wenxiao Cai, Wankou Yang

USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation

Wanjiang Weng, Hongsong Wang, Junbo Wang et al.

TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning

Xiang Li, Yunshi Lan, Chao Yang

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

Xuanhua He, Tao Hu, Guoli Wang et al.

A Generalizable Anomaly Detection Method in Dynamic Graphs

Xiao Yang, Xuejiao Zhao, Zhiqi Shen

CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation

Yuting Liu, Jinghao Zhang, Yizhou Dang et al.

Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation

Xiuding Cai, Yaoyao Zhu, Dong Miao et al.

FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval

Yanzhe Chen, Huasong Zhong, Xiangteng He et al.

Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants

Xianrun Chen, Dachuan Xu, Yicheng Xu et al.

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights

Jiaxuan Xu, Taiyong Li, Lei Duan

Mitigating Label Noise through Data Ambiguation

Julian Lienen, Eyke Hüllermeier

FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning

Renqiang Luo, Huafei Huang, Ivan Lee et al.

Language-Guided Transformer for Federated Multi-Label Classification

I-Jieh Liu, Ci-Siang Lin, Fu-En Yang et al.

Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts

Kun Jin, Tongxin Yin, Zhongzhu Chen et al.

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Jinyi Liu, Zhi Wang, Yan Zheng et al.

Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation

Xinliang Zhang, Lei Zhu, Hangzhou He et al.

RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement

Bochao Zou, Zizheng Guo, Xiaocheng Hu et al.

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework

Fangyikang Wang, Huminhao Zhu, Chao Zhang et al.

Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking

Yan Gao, Haojun Xu, Jie Li et al.

DiffSED: Sound Event Detection with Denoising Diffusion

Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia et al.

Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement

Yifeng Wang, Yi Zhao

On the Relationship Between Monotone and Squared Probabilistic Circuits

Benjie Wang, Guy Van den Broeck

Chronic Poisoning: Backdoor Attack against Split Learning

Fangchao Yu, Bo Zeng, Kai Zhao et al.

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction

Zhixuan Chu, Mengxuan Hu, Qing Cui et al.

Learning Temporal Resolution in Spectrogram for Audio Classification

Haohe Liu, Xubo Liu, Qiuqiang Kong et al.

Neural Causal Abstractions

Kevin Xia, Elias Bareinboim

Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain

Niclas Boehmer, Markus Brill, Alfonso Cevallos et al.

Local Conditional Controlling for Text-to-Image Diffusion Models

Yibo Zhao, Liang Peng, Yang Yang et al.

Identifiability of Direct Effects from Summary Causal Graphs

Simon Ferreira, Charles Assaad

Exploring More from Multiple Gait Modalities for Human Identification

Dongyang Jin, Chao Fan, Weihua Chen et al.

Full Bayesian Significance Testing via Neural Networks

Zehua Liu, Zimeng Li, Jingyuan Wang et al.

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning

Mushui Liu, Fangtai Wu, Bozheng Li et al.

GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection

Jinqing Zhang, Yanan Zhang, Yunlong Qi et al.

Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration

Zhixuan Shen, Haonan Luo, Kexun Chen et al.

Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage

Md Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino et al.

SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes

Boshi Tang, Zhiyong Wu, Xixin Wu et al.

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning

Tianle Xia, Liang Ding, Guojia Wan et al.

Federated Learning with Sample-level Client Drift Mitigation

Haoran Xu, Jiaze Li, Wanyi Wu et al.

ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection

Yin Zhang, Yongqiang Zhang, Zian Zhang et al.

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

Yiyue Chen, Haris Vikalo, Chianing Wang

FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks

Kairong Yu, Tianqing Zhang, Hongwei Wang et al.

Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning

Chengkai Han, Jingyuan Wang, Yongyao Wang et al.

SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field

Ru Li, Jia Liu, Guanghui Liu et al.

SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression

Qingwen Bu, Sungrae Park, Minsoo Khang et al.

Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers

Ruiyuan Zhang, Jiaxiang Liu, Zexi Li et al.

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis

Dong Wei, Xiaoning Sun, Huaijiang Sun et al.

Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts

Miao Rang, Zhenni Bi, Chuanjian Liu et al.

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

Wei Xiang, Haoteng YIN, He Wang et al.

Generalized Planning for the Abstraction and Reasoning Corpus

Chao Lei, Nir Lipovetzky, Krista A. Ehinger

Gaussian Process Neural Additive Models

Wei Zhang, Brian Barr, John Paisley

Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion

Siyuan Shan, Yang Li, Amartya Banerjee et al.

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning

Hongshu Guo, Zeyuan Ma, Jiacheng Chen et al.

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection

Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang et al.

Hyperbolic Graph Diffusion Model

Lingfeng Wen, Xuan Tang, Mingjie Ouyang et al.

OmniCount: Multi-label Object Counting with Semantic-Geometric Priors

Anindya Mondal, Sauradip Nag, Xiatian Zhu et al.

Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization

Yue Zhang, Liqiang Jing, Vibhav Gogate

Exploring Vacant Classes in Label-Skewed Federated Learning

Kuangpu Guo, Yuhe Ding, Jian Liang et al.

MambaLCT: Boosting Tracking via Long-term Context State Space Model

Xiaohai Li, Bineng Zhong, Qihua Liang et al.

Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval

Zhe Ma, Jianfeng Dong, Shouling Ji et al.

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training

Ting Wang, Zhixin Zhou, Rui Luo

Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution

Yifan Su, Rishi Veerapaneni, Jiaoyang Li

Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving

Tengpeng Li, Hanli Wang, Xianfei Li et al.

ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding

Ziyang Lu, Yunqiang Pei, Guoqing Wang et al.

Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning

Yimeng Shan, Malu Zhang, Rui-jie Zhu et al.

DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification

Kunlun Xu, Chenghao Jiang, Peixi Xiong et al.

CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments

Xiulong Liu, Sudipta Paul, Moitreya Chatterjee et al.

UniMuMo: Unified Text, Music, and Motion Generation

Han Yang, Kun Su, Yutong Zhang et al.

Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees

Weijia Zhang, Chun Kai Ling, Xuanhui Zhang

OmniSR: Shadow Removal Under Direct and Indirect Lighting

Jiamin Xu, Zelong Li, Yuxin Zheng et al.

A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility

Chen E, Yang Cao, Ge Yifei

Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization

Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat et al.

Symbolic Regression Enhanced Decision Trees for Classification Tasks

Kei Sen Fong, Mehul Motani

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

Qingsong Yan, Qiang Wang, Kaiyong Zhao et al.

Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration

Ziyang Ma, Guanrou Yang, Yifan Yang et al.

FLAME: Learning to Navigate with Multimodal LLM in Urban Environments

Yunzhe Xu, Yiyuan Pan, Zhe Liu et al.

ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning

Huiqun Li, Hanhan Zhou, Yifei Zou et al.

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

Minqin Zhu, Anpeng Wu, Haoxuan Li et al.

Tuning-Free Inversion-Enhanced Control for Consistent Image Editing

Xiaoyue Duan, Shuhao Cui, Guoliang Kang et al.

Learning Personalized Decision Support Policies

Umang Bhatt, Valerie Chen, Katherine M. Collins et al.

STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM

Yiheng Huang, Xiaowei Mao, Shengnan Guo et al.

Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields

BOYU Chen, Wei-Chen Chiu, Yu-Lun Liu

Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models

Haoran Ye, Yuhang Xie, Yuanyi Ren et al.

SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining

Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang et al.

Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation

Zhuohang Dang, Minnan Luo, Chengyou Jia et al.

Diffusion Models for Attribution

Xiongren Chen, Jiuyong Li, Jixue Liu et al.

Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching

Zhaohuai Liang, Changhe Li

Adaptive Discovering and Merging for Incremental Novel Class Discovery

Guangyao Chen, Peixi Peng, Yangru Huang et al.

Efficient 3D Recognition with Event-driven Spike Sparse Convolution

Xuerui Qiu, Man Yao, Jieyuan Zhang et al.

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

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

Yuan: Yielding Unblemished Aesthetics Through a Unified Network for Visual Imperfections Removal in Generated Images

Zhenyu Yu, Chee Seng Chan

Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger

Yi Yu, Song Xia, Xun Lin et al.

SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning

Yuxin Deng, Jiayi Ma

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing

Lokesh Nagalapatti, Akshay Iyer, Abir De et al.

Robust Nonparametric Regression under Poisoning Attack

Puning Zhao, Zhiguo Wan

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations

Pengyue Jia, Yichao Wang, Shanru LIN et al.

SegFace: Face Segmentation of Long-Tail Classes

Kartik Narayan, Vibashan Vs, Vishal M. Patel

From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach

Xilin Wang, Jia Zheng, Yuanchao Hu et al.

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

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

Transformer as Linear Expansion of Learngene

Shiyu Xia, Miaosen Zhang, Xu Yang et al.

RemDet: Rethinking Efficient Model Design for UAV Object Detection

Chen Li, Rui Zhao, Zeyu Wang et al.

Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts

Sukai Huang, Nir Lipovetzky, Trevor Cohn

VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models

Ziyi Yin, Muchao Ye, Tianrong Zhang et al.

Memory-Efficient Reversible Spiking Neural Networks

Hong Zhang, Yu Zhang

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors

Fengshuo Bai, Runze Liu, Yali Du et al.

Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation

Ling-An Zeng, Guohong Huang, Gaojie Wu et al.

AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference

Zhuomin He, Yizhen Yao, Pengfei Zuo et al.

Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation

Huihui Song, Tiankang Su, Yuhui Zheng et al.

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

Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.

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

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.

Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection

Xiaoyu Huang, Weidong Chen, Bo Hu et al.

Understanding and Improving Optimization in Predictive Coding Networks

Nicholas Alonso, Jeffrey Krichmar, Emre Neftci

Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models

Yifang Xu, Yunzhuo Sun, Benxiang Zhai et al.

Image Content Generation with Causal Reasoning

Xiaochuan Li, Baoyu Fan, Run Zhang et al.

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

Muyao Wang, Wenchao Chen, Bo Chen

Learning to Pivot as a Smart Expert

Tianhao Liu, Shanwen Pu, Dongdong Ge et al.

CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification

Chenyang Yu, Xuehu Liu, Jiawen Zhu et al.

Conformal Thresholded Intervals for Efficient Regression

Rui Luo, Zhixin Zhou

CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers

Jingyi Zheng, Tianyi Hu, Tianshuo Cong et al.

One Step Closer to Unbiased Aleatoric Uncertainty Estimation

Wang Zhang, Ziwen Martin Ma, Subhro Das et al.

11293 Cross-Class Feature Augmentation for Class Incremental Learning

Taehoon Kim, JaeYoo Park, Bohyung Han

Pedestrian Attribute Recognition: A New Benchmark Dataset and a Large Language Model Augmented Framework

Jiandong Jin, Xiao Wang, Qian Zhu et al.

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors

Xiangchen Yin, Donglin Di, Lei Fan et al.

Revisiting Tampered Scene Text Detection in the Era of Generative AI

Chenfan Qu, Yiwu Zhong, Fengjun Guo et al.

Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding

Xianqiang Gao, Pingrui Zhang, Delin Qu et al.

Adversarial Attacks on the Interpretation of Neuron Activation Maximization

Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty et al.

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective

Wanying Wang, Yichen Zhu, Yirui Zhou et al.

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

Quang Truong, Peter Chin

MGNet: Learning Correspondences via Multiple Graphs

Dai Luanyuan, Xiaoyu Du, Hanwang Zhang et al.

Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding

Yichi Zhang, Zhihao Duan, Ming Lu et al.

Debiased Multimodal Understanding for Human Language Sequences

Zhi Xu, Dingkang Yang, Mingcheng Li et al.

Decouple Content and Motion for Conditional Image-to-Video Generation

Cuifeng Shen, Yulu Gan, Chen Chen et al.

DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment

Haitao Li, Qingyao Ai, Xinyan Han et al.

Robust Test-Time Adaptation for Zero-Shot Prompt Tuning

Ding-Chu Zhang, Zhi Zhou, Yufeng Li

SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance

Hongyu Yan, Zijun Li, Kunming Luo et al.

Debiased All-in-one Image Restoration with Task Uncertainty Regularization

Gang Wu, Junjun Jiang, Yijun Wang et al.

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective

Bo Ni, Yu Wang, Lu Cheng et al.

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

Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling

Xinhao Tao, Junyan Cao, Yan Hong et al.

Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction

Zhaoxi Mu, Xinyu Yang, Sining Sun et al.

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck

Shifei Ding, Wei Du, Ling Ding et al.

Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking

Xingyu Zhu, Guanhui Ye, Xiapu Luo et al.

Exploring Transformer Extrapolation

Zhen Qin, Yiran Zhong, Hui Deng

Task-Disruptive Background Suppression for Few-Shot Segmentation

Suho Park, SuBeen Lee, Sangeek Hyun et al.

QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning

Fang-Xiang Wu, Minghan Fu

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks

Yuanbin Qian, Shuhan Ye, Chong Wang et al.

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

Ishan Rajendrakumar Dave, Simon Jenni, Mubarak Shah

Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning

Pingting Hao, Kunpeng Liu, Wanfu Gao

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines

Xinwei Long, Zhiyuan Ma, Ermo Hua et al.

Temporal Fair Division

Benjamin Cookson, Soroush Ebadian, Nisarg Shah

MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification

Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu

Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation

Renjie Wu, Hu Wang, Feras Dayoub et al.

Unraveling Batch Normalization for Realistic Test-Time Adaptation

Zixian Su, Jingwei Guo, Kai Yao et al.

Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models

Zihao Luo, Xilie Xu, Feng Liu et al.

StyO: Stylize Your Face in Only One-Shot

Bonan Li, Zicheng Zhang, Xuecheng Nie et al.

Delivering Inflated Explanations

Yacine Izza, Alexey Ignatiev, Peter Stuckey 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.

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition

Sijie Wang, Rui She, Qiyu Kang et al.

MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios

Jiacheng Ruan, Wenzhen Yuan, Zehao Lin et al.

LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training

Khoi M. Le, Trinh Pham, Tho Quan et al.

Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering

Youngsun Lim, Hojun Choi, Hyunjung Shim

Diff-Shadow: Global-guided Diffusion Model for Shadow Removal

Jinting Luo, Ru Li, Chengzhi Jiang et al.

Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning

Hai-Ming Xu, Qi Chen, Lei Wang et al.

ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context

Chenxiao Wu, Ke Wenjun, Peng Wang et al.

Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering

Guoqing Chao, Kaixin Xu, Xijiong Xie et al.

VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers

Juncan Deng, Shuaiting Li, Zeyu Wang et al.

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

Xiuli Bi, Jian Lu, Bo Liu et al.

KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models

Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao et al.

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

Xin Yang, Wending Yan, Yuan Yuan et al.

Test-Time Personalization with Meta Prompt for Gaze Estimation

Huan Liu, Julia Qi, Zhenhao Li et al.