Most Cited AAAI "computational heterogeneity" Papers

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection

Haonan Xu, Yang Yang

Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition

Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm

Textualize Visual Prompt for Image Editing via Diffusion Bridge

Pengcheng Xu, Qingnan Fan, Fei Kou et al.

Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles

Youssouf Emine, Alexandre Forel, Idriss Malek et al.

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

Xiaowei Mao, Yan Lin, Shengnan Guo et al.

Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences

Xiwen Chen, Peijie Qiu, Wenhui Zhu et al.

Learning Regularization for Graph Inverse Problems

Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb et al.

KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing

Shu Zhao, Tan Yu, Xiaoshuai Hao et al.

Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows

Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born et al.

Out-of-Distribution Generalization on Graphs via Progressive Inference

Yiming Xu, Bin Shi, Zhen Peng et al.

Bootstrapped Reward Shaping

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin et al.

SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living

Arkaprava Sinha, Dominick Reilly, Francois Bremond et al.

On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries

Dimitris Fotakis, Laurent Gourvès, Panagiotis Patsilinakos

Efficient Multi-Policy Evaluation for Reinforcement Learning

Shuze Daniel Liu, Claire Chen, Shangtong Zhang

IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation

Runxin Liu, Tian Xie, Jiaming Li et al.

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology

Liang Yang, Zhenna Li, Jiaming Zhuo et al.

You Should Learn to Stop Denoising on Point Clouds in Advance

Chuchen Guo, Weijie Zhou, Zheng Liu et al.

Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection

Yitong Chen, Wenhao Yao, Lingchen Meng et al.

CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models

Dan Shi, Chaobin You, Jian-Tao Huang et al.

Double Auction on Diffusion Network

Miao Li, Yuhan Cao, Dengji Zhao

Robust Logit Adjustment for Learning with Long-Tailed Noisy Data

MingCai Chen, Yuntao Du, Wenyu Jiang et al.

Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis

Kunming Tang, Zhiguo Jiang, Jun Shi et al.

Towards Learning and Explaining Indirect Causal Effects in Neural Networks

Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak et al.

AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis

Haiping Ma, Yue Yao, Changqian Wang et al.

Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences

Yifan Wang, Wuliang Huang, Chun Yuan

Direct May Not Be the Best: An Incremental Evolution View of Pose Generation

Yuelong Li, Tengfei Xiao, Lei Geng et al.

One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation

Huishi Luo, Yiwen Chen, Yiqing Wu et al.

Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption

Yiding Chen, Xuezhou Zhang, Qiaomin Xie et al.

When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks

Haihang Wu, Wei Wang, Tamasha Malepathirana et al.

Last-iterate Convergence in Regularized Graphon Mean Field Game

Jing Dong, Baoxiang Wang, Yaoliang Yu

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

Xuan Huang, Hanhui Li, Zejun Yang et al.

DCA: Dividing and Conquering Amnesia in Incremental Object Detection

Aoting Zhang, Dongbao Yang, Chang Liu et al.

Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval

Jiaxing Li, Lin Jiang, Zeqi Ma et al.

How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation

Zixiang Ding, Guoqing Jiang, Shuai Zhang et al.

Semi-Implicit Neural Ordinary Differential Equations

Hong Zhang, Ying Liu, Romit Maulik

DiffCLIP: Few-shot Language-driven Multimodal Classifier

Jiaqing Zhang, Mingxiang Cao, Xue Yang et al.

LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt Tuning

Hongjing Wu, Siyuan Yao, Feng Huang et al.

On the Hardness of Training Deep Neural Networks Discretely

Ilan Doron-Arad

Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence

Jorge Fandinno, Zachary Hansen

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning

Shuyu Dong, Michele Sebag, Kento Uemura et al.

Domain Invariant Learning for Gaussian Processes and Bayesian Exploration

Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.

Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis

Zebin Yao, Fangxiang Feng, Ruifan Li et al.

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam et al.

FedPop: Federated Population-based Hyperparameter Tuning

Haokun Chen, Denis Krompaß, Jindong Gu et al.

Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal

Yicheng Leng, Chaowei Fang, Junye Chen et al.

UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection

HaoMiao Liu, Hao Xu, Chuhuai Yue et al.

Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising

Zikang Chen, Tao Jiang, Xiaowan Hu et al.

An And-Sum Circuit with Signed Edges That Is More Succinct than SDD

Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.

FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments

Aoru Xue, Yiming Ren, Zining Song et al.

Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach

Victor O. K. Li, Yang Han, Jacqueline C. K. Lam

STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction

Zhanwei Zhang, Minghao Chen, Zhihong Gu et al.

Cost Minimization for Equilibrium Transition

Haoqiang Huang, Zihe Wang, Zhide Wei et al.

WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting

Zichi Zhang, Tuan Dung Pham, Yimeng An et al.

D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching

Jingyu Liu, Minquan Wang, Ye Ma et al.

Diverse Rare Sample Generation with Pretrained GANs

Subeen Lee, Jiyeon Han, Soyeon Kim et al.

Proportionally Fair Makespan Approximation

Michal Feldman, Jugal Garg, Vishnu V. Narayan et al.

The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective

Alexander Lam, Bo Li, Ankang Sun

Towards Equipping Transformer with the Ability of Systematic Compositionality

Chen Huang, Peixin Qin, Wenqiang Lei et al.

Attention Bootstrapping for Multi-Modal Test-Time Adaptation

Yusheng Zhao, Junyu Luo, Xiao Luo et al.

Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases

Yasir Mahmood, Markus Hecher, Axel-Cyrille Ngonga Ngomo

Online Sensitivity Optimization in Differentially Private Learning

8623 Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta

Multispectral Pedestrian Detection with Sparsely Annotated Label

Chan Lee, Seungho Shin, Gyeong-Moon Park et al.

Pay to (Not) Play: Monetizing Impatience in Mobile Games

Taylor Lundy, Narun Raman, Hu Fu et al.

Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking

Xin Tong, Shi Peng, Baojie Tian et al.

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline

Zekai Zhang, Qinghui Chen, Maomao Xiong et al.

S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging

Yimu Pan, Sitao Zhang, Alison D. Gernand et al.

AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation

Yu Wang, Yunfei Liu, Fa-Ting Hong et al.

Task Planning for Object Rearrangement in Multi-Room Environments

Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.

Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics

Tze Ho Elden Tse, Runyang Feng, Linfang Zheng et al.

Neural Network Approximators for Marginal MAP in Probabilistic Circuits

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus

Liangda Fang, Xiaoman Wang, Zhang Chen et al.

Intelligent OPC Engineer Assistant for Semiconductor Manufacturing

Guojin Chen, Haoyu Yang, Bei Yu et al.

Causal-Driven Skill Prerequisite Structure Discovery

Shenbao Yu, Yifeng Zeng, Fan Yang et al.

Optimising Spatial Teamwork Under Uncertainty

Gregory Everett, Ryan J. Beal, Tim Matthews et al.

Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures

Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan et al.

Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation

Dapeng Li, Na Lou, Zhiwei Xu et al.

Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation

Sanghyuck Lee, Sangkeun Park, Jaesung Lee

Physical-aware Neural Radiance Fields for Efficient Exposure Correction

Kai Xu, Mingwen Shao, Yuanjian Qiao et al.

Elevating Flow-Guided Video Inpainting with Reference Generation

Suhwan Cho, Seoung Wug Oh, Sangyoun Lee et al.

Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic

Thomy Phan, Benran Zhang, Shao-Hung Chan et al.

Learning Coalition Structures with Games

Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation

Shiyu Liu, Daoqiang Zhang, Xiaoke Hao

Windowed MAPF with Completeness Guarantees

Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li et al.

Text Diffusion with Reinforced Conditioning

Yuxuan Liu, Tianchi Yang, Shaohan Huang et al.

Sharpening Neural Implicit Functions with Frequency Consolidation Priors

Chao Chen, Yu-Shen Liu, Zhizhong Han

OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition

Yiheng Yu, Sheng Liu, Yuan Feng et al.

Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach

Hebei Li, Yansong Peng, Jiahui Yuan et al.

Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis

Zhenhua Wu, Linxuan Jiang, Xiang Li et al.

Explicit and Implicit Graduated Optimization in Deep Neural Networks

Naoki Sato, Hideaki Iiduka

Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem

Keyuan Zhang, Zhongdong Liu, Nakjung Choi et al.

Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval

Mingjin Kuai, Jun Long, Zhan Yang

AUC Optimization from Multiple Unlabeled Datasets

Zheng Xie, Yu Liu, Ming Li

Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models

Chun-Yen Shih, Li-Xuan Peng, Jia-Wei Liao et al.

Relaxed Rotational Equivariance via G-Biases in Vision

Zhiqiang Wu, Yingjie Liu, Licheng Sun et al.

Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection

Weihong Bi, Feifei Kou, Lei Shi et al.

Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning

Chaofan Chen, Xiaoshan Yang, Changsheng Xu

Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling

Fei Ye, Adrian G. Bors, Kun Zhang

CGS-Mask: Making Time Series Predictions Intuitive for All

Feng Lu, Wei Li, Yifei Sun et al.

Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos

Aamal Hussain, Francesco Belardinelli

Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship

Junfeng Kang, Rui Li, Qi Liu et al.

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach

Wen Huang, Xintao Wu

DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis

Yongjin Choi, Chanhun Park, Seung Jun Baek

Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time

Aakash, Indranil Saha

CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models

Xin Jing, Yichen Jing, Yuhuan Lu et al.

REPrune: Channel Pruning via Kernel Representative Selection

Mincheol Park, Dongjin Kim, Cheonjun Park et al.

Detecting Music Performance Errors with Transformers

Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos et al.

General Uncertainty Estimation with Delta Variances

Simon Schmitt, John Shawe-Taylor, Hado van Hasselt

Nuance Matters: Probing Epistemic Consistency in Causal Reasoning

Shaobo Cui, Junyou Li, Luca Mouchel et al.

OneBatchPAM: A Fast and Frugal K-Medoids Algorithm

Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger et al.

Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis

João Pedro Gandarela de Souza, Danilo Carvalho, André Freitas

Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits

Nikolai Karpov, Qin Zhang

Constructing Fair Latent Space for Intersection of Fairness and Explainability

Hyungjun Joo, Hyeonggeun Han, Sehwan Kim et al.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning

Yuanheng Fang, Guoqing Chao, Wenqiang Lei et al.

Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction

Xuan Feng, Tianlong Gu, Xiaoli Liu et al.

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off

Song Lai, Zhe Zhao, Fei Zhu et al.

Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning

Junsu Kim, Suhyun Kim

GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection

Xiaocan Chen, Qilin Yin, Jiarui Liu et al.

3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation

Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko et al.

AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery

Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao et al.

How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation

Haodong Feng, Yue Wang, Dixia Fan

An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency

Yuqi Liang, Jun Luo, Xiaoxi Guo et al.

Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks

Xiyao Liu, Junxing Ma, Xinda Wang et al.

Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients

Xuan Liu, Menglu Li

GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction

Yuwei Miao, Yuzhi Guo, Hehuan Ma et al.

Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck

Zhibin Ni, Chang Liu, Hai Wan et al.

MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples

Zhihao Wu, Yushi Cheng, Tianyang Sun et al.

Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity

Lei Zhang, Guanyu Gao, Haiyan Yin et al.

Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles

Xin Zhang, Peiliang Zhang, Jingling Yuan et al.

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision

Yiting Dong, Xiang He, Guobin Shen et al.

Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling

Zhejing Hu, Yan Liu, Gong Chen et al.

Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis

Yinan Li, Jun Long, Zhan Yang

Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of Algorithms

Mirabel Reid, Santosh S. Vempala

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.

Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning

Dengming Zhang, Weitao You, Ziheng Liu et al.

GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration

Yihao, Limei Hu, Feng Chen et al.

Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation

Xiaoqi An, Lin Zhao, Chen Gong et al.

DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization

Qi Bi, Jingjun Yi, Hao Zheng et al.

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

Rui Cai, Zhiyu Dong, Jianfeng Dong et al.

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language

Qikai Chang, Mingjun Chen, Changpeng Pi et al.

Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video Generation

Changgu Chen, Junwei Shu, Gaoqi He et al.

GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction

Junyi Chen, Weicai Ye, Yifan Wang et al.

Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis

Yiliang Chen, Steven SC Ho, Cheng Xu et al.

Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion

Jisheng Chu, Wenrui Li, Xingtao Wang et al.

Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models

Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley et al.

Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling

Hui Deng, Jiawei Shi, Zhen Qin et al.

EventPillars: Pillar-based Efficient Representations for Event Data

Rui Fan, Weidong Hao, Juntao Guan et al.

Combating Semantic Contamination in Learning with Label Noise

Wenxiao Fan, Kan Li

Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning

Tao Gong, Qi Chu, Bin Liu et al.

Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency

Haipeng Guo, Huanyu Liu, Jiazheng Wen et al.

ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow

Jumin Han, Jun-Hee Kim, Seong-Whan Lee

CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework

Yushan Han, Hui Zhang, Honglei Zhang et al.

Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References

Teng-Fang Hsiao, Bo-Kai Ruan, Hong-Han Shuai

Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution

Tingxuan Huang, Jiacheng Miao, Shizhuo Deng et al.

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching

Xiaofei Huang, Wenting Chen, Jie Liu et al.

Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation

Yanglin Huang, Kai Hu, Yuan Zhang et al.

EGSRAL:An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene

Yixiong Huo, Guangfeng Jiang, Hongyang Wei et al.

Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering

Hao Jiang, Yang Jin, Zhicheng Sun et al.

Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models

Rui Jiang, Xinghe Fu, Guangcong Zheng et al.

Real-Time Neural Denoising with Render-Aware Knowledge Distillation

Mengxun Kong, Jie Guo, Chen Wang et al.

MAMS: Model-Agnostic Module Selection Framework for Video Captioning

Sangho Lee, Il Yong Chun, Hogun Park

KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models

Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev et al.

Consistency of Compositional Generalization Across Multiple Levels

Chuanhao Li, Zhen Li, Chenchen Jing et al.

HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes

Guoqiu Li, Jin Song, Yiyun Fei

Block-Based Multi-Scale Image Rescaling

Jian Li, Siwang Zhou

Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering

Peize Li, Qingyi Si, Peng Fu et al.

Temporal Action Localization with Cross Layer Task Decoupling and Refinement

Qiang Li, Di Liu, Jun Kong et al.

A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging

Ruoran Li, Runzhao Yang, Wenxin Xiang et al.

DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion

Yinghui Li, Qianyu Zhou, Jingyu Gong et al.

Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection

Jiaying Lin, Yuen-Hei Yeung, Shuquan Ye et al.

Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline

Baolong Liu, Ruiqing Yang, Roukai Huang et al.

Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging

Chuang Liu, Yichao Cao, YingYing Zhang et al.

Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning

Han Liu, Yuanyuan Wang, Xiaotong Zhang et al.

Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning

Man Liu, Huihui Bai, Feng Li et al.

Training Verification-Friendly Neural Networks via Neuron Behavior Consistency

Zongxin Liu, Zhe Zhao, Fu Song et al.

Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification

Kai Lv, Yunlong Li, Zhuo Chen et al.

Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness

Hefei Mei, Minjing Dong, Chang Xu

SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network

Ziming Nie, Qiao Wu, Chenlei Lv et al.

Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation

Delin Pan, Jiansong Fan, Jie Zhu et al.

Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy

Shaoyan Pan, Yikang Liu, Lin Zhao et al.

Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection

Bin Pu, Liwen Wang, Jiewen Yang et al.

Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification

Haocong Rao, Chunyan Miao

FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models

Mohammadreza Samadi, Fred X. Han, Mohammad Salameh et al.

Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes

Ji Shi, Xianghua Ying, Ruohao Guo et al.

SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection

Peiyao Shou, Yixiu Liu, Wei Wang et al.

RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation

Zhaoyang Sun, Fei Du, Weihua Chen et al.

First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks

Janani Suresh, Nancy Nayak, Sheetal Kalyani

Modality-Aware Shot Relating and Comparing for Video Scene Detection

Jiawei Tan, Hongxing Wang, Kang Dang et al.

Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning

Yunbin Tu, Liang Li, Li Su et al.

Geometry-Aware 3D Salient Object Detection Network

Chen Wang, Liyuan Zhang, Le Hui et al.

FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network

Jiayu Wang, Yue Yu, Jingjing Chen et al.

MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding

Jiaze Wang, Yi Wang, Ziyu Guo et al.

WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition

Zicheng Wang, Qiuxia Wu

Achieving Lightweight Super-Resolution for Real-Time Computer Graphics

Yu Wen, Chen Zhang, Chenhao Xie et al.

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability

Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer et al.

Multi-Shape Matching with Cycle Consistency Basis via Functional Maps

Yifan Xia, Tianwei Ye, Huabing Zhou et al.

POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search

Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng et al.

Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation

Wenzhao Xiang, Chang Liu, Hongyang Yu et al.

Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model

Jiahua Xu, Dawei Zhou, Lei Hu et al.

LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data

Shaocong Xu, Pengfei Li, Qianpu Sun et al.