Most Cited AAAI "trajectory ranking" Papers

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks

Yankai Chen, Yixiang Fang, Qiongyan Wang et al.

Multi-Turn Jailbreaking Large Language Models via Attention Shifting

Xiaohu Du, Fan Mo, Ming Wen et al.

Towards Fair Graph Federated Learning via Incentive Mechanisms

12794 Chenglu Pan, Jiarong Xu, Yue Yu et al.

Sum of Squares Circuits

Lorenzo Loconte, Stefan Mengel, Antonio Vergari

ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network

Ruyue Liu, Rong Yin, Yong Liu et al.

Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks

Tong Wang, Yuan Yao, Feng Xu et al.

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment

Jun Liu, Zhenglun Kong, Pu Zhao et al.

M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis

Ning Zhang, Hiuyi Cheng, Jiayu Chen et al.

CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions

Matan Levi, Yair Allouche, Daniel Ohayon et al.

DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System

Jinglue Hang, Xiangbo Lin, Tianqiang Zhu et al.

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

Yiyue Chen, Haris Vikalo, Chianing Wang

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

Lihu Chen, Adam Dejl, Francesca Toni

OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving

Tianyi Yan, Junbo Yin, Xianpeng Lang et al.

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

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

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

Yanzhe Chen, Huasong Zhong, Xiangteng He et al.

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent

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

Zhiyuan Ma, Guoli Jia, Bowen Zhou

On the Relationship Between Monotone and Squared Probabilistic Circuits

Benjie Wang, Guy Van den Broeck

Mitigating Label Noise through Data Ambiguation

Julian Lienen, Eyke Hüllermeier

Generalizing across Temporal Domains with Koopman Operators

QIUHAO Zeng, Wei Wang, Fan Zhou et al.

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

Wanjiang Weng, Hongsong Wang, Junbo Wang et al.

Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants

Xianrun Chen, Dachuan Xu, Yicheng Xu et al.

Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers

Ruiyuan Zhang, Jiaxiang Liu, Zexi Li et al.

Exploring More from Multiple Gait Modalities for Human Identification

Dongyang Jin, Chao Fan, Weihua Chen et al.

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

Jiaming Liu, Yue Wu, Maoguo Gong et al.

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

Zhixuan Shen, Haonan Luo, Kexun Chen et al.

SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes

Boshi Tang, Zhiyong Wu, Xixin Wu et al.

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

Dong Wei, Xiaoning Sun, Huaijiang Sun et al.

Object-level Geometric Structure Preserving for Natural Image Stitching

Wenxiao Cai, Wankou Yang

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

Yan Gao, Haojun Xu, Jie Li et al.

Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning

Yanqi Ge, Qiang Nie, Ye Huang et al.

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

Niclas Boehmer, Markus Brill, Alfonso Cevallos et al.

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

Yunlong Tang, Gen Zhan, Li Yang et al.

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

Kairong Yu, Tianqing Zhang, Hongwei Wang et al.

Full Bayesian Significance Testing via Neural Networks

Zehua Liu, Zimeng Li, Jingyuan Wang et al.

Learning Temporal Resolution in Spectrogram for Audio Classification

Haohe Liu, Xubo Liu, Qiuqiang Kong et al.

Boosting Segment Anything Model Towards Open-Vocabulary Learning

Xumeng Han, Longhui Wei, Xuehui Yu et al.

Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts

Miao Rang, Zhenni Bi, Chuanjian Liu et al.

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

Fangyikang Wang, Huminhao Zhu, Chao Zhang et al.

Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement

Yifeng Wang, Yi Zhao

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

Van Thuy Hoang, O-Joun Lee

Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning

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

DiffSED: Sound Event Detection with Denoising Diffusion

Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia et al.

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

Jinyi Liu, Zhi Wang, Yan Zheng 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.

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

Xuanhua He, Tao Hu, Guoli Wang et al.

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

Tianle Xia, Liang Ding, Guojia Wan et al.

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

Kun Jin, Tongxin Yin, Zhongzhu Chen et al.

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

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

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

Longtian Qiu, Shan Ning, Xuming He

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

Yin Zhang, Yongqiang Zhang, Zian Zhang et al.

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

Jialu Zhang, Xiaoying Yang, Wentao He et al.

Federated Causality Learning with Explainable Adaptive Optimization

Dezhi Yang, Xintong He, Jun Wang et al.

SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression

Qingwen Bu, Sungrae Park, Minsoo Khang et al.

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

Wei Xiang, Haoteng YIN, He Wang et al.

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

Zhiang Dong, Jingyuan Chen, Fei Wu

FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning

Renqiang Luo, Huafei Huang, Ivan Lee et al.

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

Yuting Liu, Jinghao Zhang, Yizhou Dang et al.

Chronic Poisoning: Backdoor Attack against Split Learning

Fangchao Yu, Bo Zeng, Kai Zhao et al.

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

Yutao Yuan, Chun Yuan

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

Xiang Li, Yunshi Lan, Chao Yang

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

Pei Lin

Local Conditional Controlling for Text-to-Image Diffusion Models

Yibo Zhao, Liang Peng, Yang Yang et al.

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

Chengkai Han, Jingyuan Wang, Yongyao Wang et al.

Identifiability of Direct Effects from Summary Causal Graphs

Simon Ferreira, Charles Assaad

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights

Jiaxuan Xu, Taiyong Li, Lei Duan

Language-Guided Transformer for Federated Multi-Label Classification

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

SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field

Ru Li, Jia Liu, Guanghui Liu et al.

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

Jinqing Zhang, Yanan Zhang, Yunlong Qi et al.

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

Jingru Fei, Kun Yi, Wei Fan et al.

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

Zhenlong Yuan, Jinguo Luo, Fei Shen et al.

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

Xinliang Zhang, Lei Zhu, Hangzhou He et al.

A Generalizable Anomaly Detection Method in Dynamic Graphs

Xiao Yang, Xuejiao Zhao, Zhiqi Shen

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction

Zhixuan Chu, Mengxuan Hu, Qing Cui et al.

RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement

Bochao Zou, Zizheng Guo, Xiaocheng Hu et al.

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

Xiuding Cai, Yaoyao Zhu, Dong Miao et al.

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

Mushui Liu, Fangtai Wu, Bozheng Li et al.

Neural Causal Abstractions

Kevin Xia, Elias Bareinboim

Federated Learning with Sample-level Client Drift Mitigation

Haoran Xu, Jiaze Li, Wanyi Wu et al.

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

Muyao Wang, Wenchao Chen, Bo Chen

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

Ting Wang, Zhixin Zhou, Rui Luo

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

Pingting Hao, Kunpeng Liu, Wanfu Gao

Diffusion Models for Attribution

Xiongren Chen, Jiuyong Li, Jixue Liu et al.

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

Shifei Ding, Wei Du, Ling Ding et al.

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

Hongyu Yan, Zijun Li, Kunming Luo et al.

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

Yifan Su, Rishi Veerapaneni, Jiaoyang Li

FLAME: Learning to Navigate with Multimodal LLM in Urban Environments

Yunzhe Xu, Yiyuan Pan, Zhe Liu et al.

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

Yifang Xu, Yunzhuo Sun, Benxiang Zhai et al.

Transformer as Linear Expansion of Learngene

Shiyu Xia, Miaosen Zhang, Xu Yang et al.

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors

Fengshuo Bai, Runze Liu, Yali Du 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.

OmniSR: Shadow Removal Under Direct and Indirect Lighting

Jiamin Xu, Zelong Li, Yuxin Zheng et al.

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning

Hongshu Guo, Zeyuan Ma, Jiacheng 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.

Hyperbolic Graph Diffusion Model

Lingfeng Wen, Xuan Tang, Mingjie Ouyang et al.

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

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

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

Pengyue Jia, Yichao Wang, Shanru LIN et al.

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

Ishan Rajendrakumar Dave, Simon Jenni, Mubarak Shah

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

Sukai Huang, Nir Lipovetzky, Trevor Cohn

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

Chen E, Yang Cao, Ge Yifei

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

Gang Wu, Junjun Jiang, Yijun Wang et al.

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

Jingyi Zheng, Tianyi Hu, Tianshuo Cong et al.

Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion

Siyuan Shan, Yang Li, Amartya Banerjee et al.

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

Jiandong Jin, Xiao Wang, Qian Zhu et al.

Task-Disruptive Background Suppression for Few-Shot Segmentation

Suho Park, SuBeen Lee, Sangeek Hyun et al.

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

Haoran Ye, Yuhang Xie, Yuanyi Ren et al.

One Step Closer to Unbiased Aleatoric Uncertainty Estimation

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

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

Yichi Zhang, Zhihao Duan, Ming Lu et al.

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

Xilin Wang, Jia Zheng, Yuanchao Hu et al.

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

Qingsong Yan, Qiang Wang, Kaiyong Zhao et al.

Debiased Multimodal Understanding for Human Language Sequences

Zhi Xu, Dingkang Yang, Mingcheng Li et al.

MGNet: Learning Correspondences via Multiple Graphs

Dai Luanyuan, Xiaoyu Du, Hanwang Zhang et al.

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

Xingyu Zhu, Guanhui Ye, Xiapu Luo et al.

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

Yue Zhang, Liqiang Jing, Vibhav Gogate

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

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

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

Learning Personalized Decision Support Policies

Umang Bhatt, Valerie Chen, Katherine M. Collins 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.

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

Cuifeng Shen, Yulu Gan, Chen Chen et al.

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

Xiaoyu Huang, Weidong Chen, Bo Hu et al.

UniMuMo: Unified Text, Music, and Motion Generation

Han Yang, Kun Su, Yutong Zhang et al.

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing

Lokesh Nagalapatti, Akshay Iyer, Abir De et al.

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection

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

Robust Nonparametric Regression under Poisoning Attack

Puning Zhao, Zhiguo Wan

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

Yuanbin Qian, Shuhan Ye, Chong Wang et al.

Learning to Pivot as a Smart Expert

Tianhao Liu, Shanwen Pu, Dongdong Ge et al.

11293 Cross-Class Feature Augmentation for Class Incremental Learning

Taehoon Kim, JaeYoo Park, Bohyung Han

Understanding and Improving Optimization in Predictive Coding Networks

Nicholas Alonso, Jeffrey Krichmar, Emre Neftci

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

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

Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction

Zhaoxi Mu, Xinyu Yang, Sining Sun et al.

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

Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding

Xianqiang Gao, Pingrui Zhang, Delin Qu et al.

SegFace: Face Segmentation of Long-Tail Classes

Kartik Narayan, Vibashan Vs, Vishal M. Patel

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

Minqin Zhu, Anpeng Wu, Haoxuan Li et al.

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

Weijia Zhang, Chun Kai Ling, Xuanhui Zhang

Exploring Vacant Classes in Label-Skewed Federated Learning

Kuangpu Guo, Yuhe Ding, Jian Liang et al.

Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning

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

Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation

Huihui Song, Tiankang Su, Yuhui Zheng et al.

Generalized Planning for the Abstraction and Reasoning Corpus

Chao Lei, Nir Lipovetzky, Krista A. Ehinger

Efficient 3D Recognition with Event-driven Spike Sparse Convolution

Xuerui Qiu, Man Yao, Jieyuan Zhang et al.

Image Content Generation with Causal Reasoning

Xiaochuan Li, Baoyu Fan, Run Zhang et al.

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

Ziyang Ma, Guanrou Yang, Yifan Yang et al.

Adaptive Discovering and Merging for Incremental Novel Class Discovery

Guangyao Chen, Peixi Peng, Yangru Huang et al.

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

Ziyi Yin, Muchao Ye, Tianrong Zhang et al.

Revisiting Tampered Scene Text Detection in the Era of Generative AI

Chenfan Qu, Yiwu Zhong, Fengjun Guo et al.

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective

Bo Ni, Yu Wang, Lu Cheng et al.

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

Xinwei Long, Zhiyuan Ma, Ermo Hua et al.

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

Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.

Robust Test-Time Adaptation for Zero-Shot Prompt Tuning

Ding-Chu Zhang, Zhi Zhou, Yufeng Li

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

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

Symbolic Regression Enhanced Decision Trees for Classification Tasks

Kei Sen Fong, Mehul Motani

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

Wanying Wang, Yichen Zhu, Yirui Zhou et al.

Tuning-Free Inversion-Enhanced Control for Consistent Image Editing

Xiaoyue Duan, Shuhao Cui, Guoliang Kang et al.

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

Zhaohuai Liang, Changhe Li

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

Fang-Xiang Wu, Minghan Fu

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

Yiheng Huang, Xiaowei Mao, Shengnan Guo et al.

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

Anindya Mondal, Sauradip Nag, Xiatian Zhu et al.

Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation

Zhuohang Dang, Minnan Luo, Chengyou Jia et al.

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

Ziyang Lu, Yunqiang Pei, Guoqing Wang et al.

Exploring Transformer Extrapolation

Zhen Qin, Yiran Zhong, Hui Deng

Memory-Efficient Reversible Spiking Neural Networks

Hong Zhang, Yu Zhang

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

Huiqun Li, Hanhan Zhou, Yifei Zou et al.

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

Xiaohai Li, Bineng Zhong, Qihua Liang et al.

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

Tengpeng Li, Hanli Wang, Xianfei Li et al.

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

Zhe Ma, Jianfeng Dong, Shouling Ji et al.

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

Zhuomin He, Yizhen Yao, Pengfei Zuo et al.

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

Ling-An Zeng, Guohong Huang, Gaojie Wu 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.

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

Chenyang Yu, Xuehu Liu, Jiawen Zhu et al.

Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling

Xinhao Tao, Junyan Cao, Yan Hong et al.

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

Xiangchen Yin, Donglin Di, Lei Fan et al.

Gaussian Process Neural Additive Models

Wei Zhang, Brian Barr, John Paisley

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

Xiulong Liu, Sudipta Paul, Moitreya Chatterjee et al.

RemDet: Rethinking Efficient Model Design for UAV Object Detection

Chen Li, Rui Zhao, Zeyu Wang et al.

Conformal Thresholded Intervals for Efficient Regression

Rui Luo, Zhixin Zhou

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

Quang Truong, Peter Chin

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

Yuxin Deng, Jiayi Ma

Adversarial Attacks on the Interpretation of Neuron Activation Maximization

Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty et al.

Open-Set Facial Expression Recognition

Yuhang Zhang, Yue Yao, Xuannan Liu et al.

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

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

MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation

Seyeon Kim, Siyoon Jin, Jihye Park et al.

Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis

Weikai Li, Ding Wang, Zijian Ding et al.

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling

Ye Wang, Huazheng Pan, Tao Zhang et al.

Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold

Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah et al.

NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization

Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi

CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization

Feize Wu, Yun Pang, Junyi Zhang et al.

Learning Invariant Inter-pixel Correlations for Superpixel Generation

Sen Xu, Shikui Wei, Tao Ruan et al.

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing

Yongzhe Jia, Xuyun Zhang, Amin Beheshti et al.

Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition

Bozheng Li, Mushui Liu, Gaoang Wang et al.

Let There Be Sound: Reconstructing High Quality Speech from Silent Videos

Ji-Hoon Kim, Jaehun Kim, Joon Son Chung

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

Yan Fan, Yu Wang, Pengfei Zhu et al.

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

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

Knowledge Graph Error Detection with Contrastive Confidence Adaption

Xiangyu Liu, Yang Liu, Wei Hu

Continuous Piecewise-Affine Based Motion Model for Image Animation

Hexiang Wang, Fengqi Liu, Qianyu Zhou et al.

SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization

Yongle Huang, Haodong Chen, Zhenbang Xu et al.

Uncertainty Regularized Evidential Regression

Kai Ye, Tiejin Chen, Hua Wei et al.

Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models

Yan Huang, Xiaoshan Liao, Jinxiu Liang et al.

CR-SAM: Curvature Regularized Sharpness-Aware Minimization

Tao Wu, Tie Luo, Donald Wunsch

FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation

Yuntian Bo, Yazhou Zhu, Lunbo Li et al.