Most Cited AAAI "optimal experiment design" Papers
5,317 papers found • Page 26 of 27
Conference
Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment
Jinshan Zeng, Xianglong Yu, Xianchao Tong et al.
Thin-Plate Spline-based Interpolation for Animation Line Inbetweening
Tianyi Zhu, Wei Shang, Dongwei Ren
TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition
Jianhua Zhu, Wenqi Zhao, Yu Li et al.
Optimizing Label Assignment for Weakly Supervised Person Search
Haiyang Zhu, Xi Yang, Nannan Wang
SAIL: Sample-Centric In-Context Learning for Document Information Extraction
Jinyu Zhang, Zhiyuan You, Jize Wang et al.
An Exemplar-based Framework for Chinese Text Recognition
Zhao Zhou, Xiangcheng Du, Yingbin Zheng et al.
Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching
Zhao Zhou, Yiqun Wang, Weizhong Zhang et al.
Capability Instruction Tuning
Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
You Zhang, Jin Wang, Liang-Chih Yu et al.
Improving Generalization of Deep Neural Networks by Optimum Shifting
Yuyan Zhou, Ye Li, Lei Feng et al.
Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding
Yuxiang Zhang, Jitao Sang
Prototype-Guided Multimodal Relation Extraction based on Entity Attributes
Zefan Zhang, Weiqi Zhang, Yanhui Li et al.
Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction
Qingyang Zhou, Yunfan Ye, Zhiping Cai
GLIC: General Format Learned Image Compression
MingSheng Zhou, MingMing Kong
CharacterBench: Benchmarking Character Customization of Large Language Models
Jinfeng Zhou, Yongkang Huang, Bosi Wen et al.
Advancing Audio-Based Text Generation with Imbalance Preference Optimization
Zhenghao Zhou, Yongjie Liu, Chen Cao
RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation
Jia Zhu, Hanghui Guo, Weijie Shi et al.
SceneX: Procedural Controllable Large-Scale Scene Generation
Mengqi Zhou, Yuxi Wang, Jun Hou et al.
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
Yutao Zhu, Zhaoheng Huang, Zhicheng Dou et al.
PokerBench: Training Large Language Models to Become Professional Poker Players
Richard Zhuang, Akshat Gupta, Richard Yang et al.
GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance
Jingqiu Zhou, Lue Fan, Xuesong Chen et al.
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
Tianyu Zong, Bingkang Shi, Hongzhu Yi et al.
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction
Shuyang Dong, Meiyi Ma, Josephine Lamp et al.
The Unreasonable Effectiveness of Open Science in AI: A Replication Study
Odd Erik Gundersen, Odd Cappelen, Martin Mølnå et al.
SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away
Jiliang Hu, Jiajia Li, Ziyi Pan et al.
Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery
Jiaying Zhou, Qingchao Chen
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
Jinhyeok Jang, Jaehong Kim, Chan-Hyun Youn
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
Weilin Lin, Li Liu, Jianze Li et al.
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
Xuan Liu, Siqi Cai, Qihua Zhou et al.
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
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
Haitao Zhou, Chuang Wang, Rui Nie 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.
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
Chuqin Zhou, Guo Lu, Jiangchuan Li et al.
Multiple Mean-Payoff Optimization Under Local Stability Constraints
David Klaška, Antonín Kučera, Vojtěch Kůr et al.
Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning
Alessandro La Farciola, Alessandro Valentini, Andrea Micheli
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning
Xiaotian Liu, Jihwan Jeong, Ayal Taitler et al.
Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight
Shaohui Pan, Yong Xu, Ruotao Xu et al.
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
Thomy Phan, Shao-Hung Chan, Sven Koenig
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
Igor G. Smit, Yaoxin Wu, Pavel Troubil et al.
Augmenting Online Algorithms for Knapsack Problem with Total Weight Information
Binghan Wu, Wei Bao, Bing Bing Zhou
PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion
Yi Zhong, Weize Quan, Dong-Ming Yan et al.
Improved Approximation Algorithms for Clustered TSP and Subgroup Planning
Jingyang Zhao, Mingyu Xiao, Junqiang Peng et al.
Toward Falsifying Causal Graphs Using a Permutation-Based Test
Elias Eulig, Atalanti A. Mastakouri, Patrick Blöbaum et al.
VIoTGPT: Learning to Schedule Vision Tools Towards Intelligent Video Internet of Things
Yaoyao Zhong, Mengshi Qi, Rui Wang et al.
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
Hyunchai Jeong, Adiba Ejaz, Jin Tian et al.
Flow Factorization for Efficient Generative Flow Networks
Jiashun Liu, Chunhui Li, Cheng-Hao Liu et al.
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Scenario-Based Robust Optimization of Tree Structures
Spyros Angelopoulos, Christoph Dürr, Alex Elenter 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.
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces
Benjamin Doerr, Martin S. Krejca, Günter Rudolph
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning
Guojin Zhong, Jinhong Hu, Jiajun Chen et al.
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning
Tingting Zheng, Kui Jiang, Hongxun Yao et al.
ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context
Sixiao Zheng, Yanwei Fu
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
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation
Chao Jiang, Miqing Li
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
A New Adversarial Perspective for LiDAR-based 3D Object Detection
Shijun Zheng, Weiquan Liu, Yu Guo et al.
When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data
Rongjia Zheng, Qing Zhang, Yongwei Nie et al.
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
Yanjie Li, Weijun Li, Lina Yu 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
Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation
Kexin Zheng, Haifeng Xia, Siyu Xia et al.
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization
Ruihao Zheng, Zhenkun Wang
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.
CODE: Confident Ordinary Differential Editing
Bastien Van Delft, Tommaso Martorella, Alexandre Alahi
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode et al.
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt
Benfeng Wang, Chao Huang, Jie Wen et al.
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking
Jianwei Zheng, Xiaomin Yao, Guojiang Shen 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.
PHR-DIFF: Portrait Highlights Removal via Patch-aware Diffusion Model
Hongsheng Zheng, Zhongyun Bao, Gang Fu 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
Subgraph Invariant Learning Towards Large-Scale Graph Node Classification
Leilei Wang, Si Shi, Fei Ma et al.
SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation
Meng-zhu Wang
Pre-Trained Vision-Language Models as Noisy Partial Annotators
Qian-Wei Wang, Yuqiu Xie, Letian Zhang et al.
HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking
Zeyong Zhao, Yanchao Hao, Minghao Zhang et al.
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder
Qianqian Wang, Zihao Zhang, Wei Feng 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.
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning
Xianda Wang, Yaqi Qiao, Duo Wu et al.
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
Xiangming Wang, Haijin Zeng, Jiaoyang Chen 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
Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching
Xuanpu Zhao, Dianmo Sheng, Zhentao Tan et al.
Excluding the Impossible for Open Vocabulary Semantic Segmentation
Shiyuan Zhao, Baodi Liu, Yu Bai et al.
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.
Multi-View Multi-Label Classification via View-Label Matching Selection
Hao Wei, Yongjian Deng, Qiuru Hai 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.
Fully-Scalable Massively Parallel Algorithm for k-center with Outliers
Di Wu, Qilong Feng, Junyu Huang et al.
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
Liang Wu, Ruixi Hu, Yunwen Lei
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
Siyuan Wu, Yongzhe Jia, Bowen Liu 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.
SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer
Zhijie Nie, Richong Zhang, Zhongyuan Wang et al.
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
K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach
Linhuang Xie, Shihao Gao, Jie Liu 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.
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
Guosheng Zhao, Xiaofeng Wang, Zheng Zhu et al.
Unit Selection with Nonbinary Treatment and Effect
Ang Li, Judea Pearl
Textualize Visual Prompt for Image Editing via Diffusion Bridge
Pengcheng Xu, Qingnan Fan, Fei Kou et al.
Revisiting Interpolation for Noisy Label Correction
Yuanzhuo Xu, Xiaoguang Niu, Jie Yang 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.
An Exercise in Tournament Design: When Some Matches Must Be Scheduled
Sushmita Gupta, Ramanujan Sridharan, Peter Strulo
Structured IB: Improving Information Bottleneck with Structured Feature Learning
Hanzhe Yang, Youlong Wu, Dingzhu Wen et al.
Memory-Reduced Meta-Learning with Guaranteed Convergence
Honglin Yang, Ji Ma, Xiao Yu
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
Liang Yang, Zhenna Li, Jiaming Zhuo et al.
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition
Zhicheng Zhang, Hao Tang, Jinhui Tang
Training-Free Image Manipulation Localization Using Diffusion Models
Zhenfei Zhang, Ming-Ching Chang, Xin Li
Partial Point Cloud Registration with Multi-view 2D Image Learning
Yue Zhang, Yue Wu, Wenping Ma et al.
Defying Imbalanced Forgetting in Class Incremental Learning
Shixiong Xu, Gaofeng Meng, Xing Nie et al.
PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack
Ximin Zhang, Jinyin Chen, Haibin Zheng et al.
Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation
Xiaofeng Zhang, Fanshuo Zeng, Yihao Quan et al.
Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning
Xiang Zhang, Wanqing Zhao, Pengyang Li et al.
Enhancing Implicit Neural Representations via Symmetric Power Transformation
Weixiang Zhang, Shuzhao Xie, Chengwei Ren et al.
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Xu Cai, Jonathan Scarlett
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.
DZAD: Diffusion-based Zero-shot Anomaly Detection
Tianrui Zhang, Liang Gao, Xinyu Li et al.
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
Cheng Peng, Ke Chen, Lidan Shou et al.
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning
Jingtao Li, Xing Chen, Li Yang et al.
Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views
Songchun Zhang, Chunhui Zhao
DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection
Shuo Zhang, Jiaming Huang, Wenbing Tang et al.
Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation
Shihua Zhang, Zhenjie Zhu, Zizhuo Li et al.
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
Pengyu Zhang, Xieyuanli Chen, Yuwei Chen et al.
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
Zelin Peng, Zhengqin Xu, Zhilin Zeng et al.
PanoDiT: Panoramic Videos Generation with Diffusion Transformer
Muyang Zhang, Yuzhi Chen, Rongtao Xu et al.
MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection
Mingjin Zhang, Yuanjun Ouyang, Fei Gao et al.
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification
Yingfan Ma, Xiaoyuan Luo, Kexue Fu et al.
Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation
Mingjin Zhang, Wenteng Shang, Fei Gao et al.
Explicit Visual Prompts for Visual Object Tracking
Liangtao Shi, Bineng Zhong, Qihua Liang et al.
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
Zhengqin Xu, Yulun Zhang, Chao Ma et al.
Common Sense Bias Modeling for Classification Tasks
Miao Zhang, Zee Fryer, Ben Colman et al.
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
Xun Huang, Hai Wu, Xin Li et al.
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming
Jiaxin Zhang, Wentao Yang, Songxuan Lai 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.
When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach
Feifei Zhang, Zhaoyi Zhang, Xi Zhang 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.
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting
Zhaojie Zeng, Yuesong Wang, Lili Ju 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
Efficient Neural Network Encoding for 3D Color Lookup Tables
Vahid Zehtab, David B. Lindell, Marcus A. Brubaker et al.
SAT-Based Algorithms for Regular Graph Pattern Matching
Miguel Terra-Neves, José Amaral, Alexandre Lemos et al.
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan 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.
Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion
Authors: Rui Zhao, Ruiqin Xiong, Jian Zhang 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.
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
Xinmiao Yu, Xiaocheng Feng, Yun Li et al.
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
Authors: Jintao Liu, Kaiwen Wei, Chenglong Liu
Parallel Vertex Diffusion for Unified Visual Grounding
Authors: Zesen Cheng, Kehan Li, Peng Jin et al.
KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints
Sheng Yu, Di-Hua Zhai, Yuanqing Xia
STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes
Shangshu Yu, Xiaotian Sun, Wen Li et al.
Dynamic Tangled Derivative Logic of Metric Spaces
Authors: David Fernández-Duque, Yoàv Montacute
ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models
Qing Yu, Mikihiro Tanaka, Kent Fujiwara
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
Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing
Letian Yu, Jiaxi Yang, Bo Dong et al.
MDGNN: Multi
Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
MIND: Multi
Task Incremental Network Distillation
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei, Yahong Han
Action-Agnostic Point-Level Supervision for Temporal Action Detection
Shuhei M. Yoshida, Takashi Shibata, Makoto Terao et al.
Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation
Unifying Visual and Vision-Language Tracking via Contrastive Learning
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Yanan Wu, Zhixiang Chi, Yang Wang et al.
Semantic Lens: Instance-Centric Semantic Alignment for Video Super-resolution
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions
Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise
Ziniu Yin, Yanglin Feng, Ming Yan et al.
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
Qinqian Lei, Bo Wang, Robby T. Tan
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization
Woosung Kim, Donghyeon Ki, Byung-Jun Lee
Optimal Transport with Cyclic Symmetry
Shoichiro Takeda, Yasunori Akagi, Naoki Marumo et al.
TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis
Shuo Yin, Guoqiang Zhong
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks
Jia-Li Yin, Weijian Wang, Lyhwa et al.
Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement
Yifeng Wang, Yi Zhao