Most Cited 2025 "text complexity quantification" Papers
22,274 papers found • Page 102 of 112
Conference
Investigating Pattern Neurons in Urban Time Series Forecasting
Chengxin Wang, Yiran Zhao, shaofeng cai et al.
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation
Yirui Wu, Yuhang Xia, Hao Li et al.
VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval
Peng Wu, Wanshun Su, Xiangteng He et al.
SVRMamba: Slice-to-Volume Reconstruction from Multiple MRI Stacks with Slice Sequence Guided Mamba
Jiangjie Wu, Hongjiang Wei, Yuyao Zhang
Spin: Diffusion-based Semantic Image Painting Through Independent Information Injection
Dantong Wu, Zhiqiang Chen, Tianjiao Du et al.
Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models
Chao Huang, Yushu Shi, Jie Wen et al.
Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration
Yuanbo Wen, Tao Gao, Jing Zhang et al.
Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion
Xiyue Zhu, Dou Kwark, Ruike Zhu et al.
The Logical Implication Steering Method for Conditional Interventions on Transformer Generation
Damjan Kalajdzievski
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang, Xiaoming Huo, Hao Wang
Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning
Yang Wei, Jingyu Tan, Guowen Xu et al.
Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
Xiaoyu Li, Zhao Song, Shenghao Xie
GlyphSR: A Simple Glyph-Aware Framework for Scene Text Image Super-Resolution
Baole Wei, Yuxuan Zhou, Liangcai Gao et al.
MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds
Zihao Wang, Yiming Huang, Gengyu Lyu et al.
STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs
Zhuang Wang, Linna Zhou, Xuekai Chen et al.
Attention-Imperceptible Backdoor Attacks on Vision Transformers
Zhishen Wang, Rui Wang, Lihua Jing
Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model
Zhen Wang, Yaozu Wu, Dongyuan Li et al.
Style Nursing with Spatial and Semantic Guidance for Zero-Shot Traffic Scene Style Transfer
Zhen Wang, Zihang Lin, Meng Yuan et al.
DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision
Yun Wang, Jiahao Zheng, Chenghao Zhang et al.
Target Scanpath-Guided 360-Degree Image Enhancement
Yujia Wang, Fang-Lue Zhang, Neil A. Dodgson
Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference
Junbin Liu, Farzan Farnia, Wing-Kin Ma
Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units
Youjia Wang, Yiwen Wu, Hengan Zhou et al.
RefDetector: A Simple Yet Effective Matching-based Method for Referring Expression Comprehension
Yabing Wang, Zhuotao Tian, Zheng Qin et al.
From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization
Xueyi Wang, Lele Zhang, Zheng Fan et al.
Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning
Xudong Gong, Sen Yang, Feng Dawei et al.
MIMTrack: In-Context Tracking via Masked Image Modeling
Xingmei Wang, Guohao Nie, Jiaxiang Meng et al.
Contract Design Under Approximate Best Responses
Francesco Bacchiocchi, Jiarui Gan, Matteo Castiglioni et al.
A Closer Look at Backdoor Attacks on CLIP
Shuo He, Zhifang Zhang, Feng Liu et al.
Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild
Xingjian Wang, Li Chai
DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy
Xi Wang, Xueyang Fu, Liang Li et al.
FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis
Wenzhuang Wang, Mingcan Ma, Yong Chen et al.
Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph
Weihao Wang, Yu Lan, Mingyu You et al.
Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning
Xiangqi Li, Libo Huang, Zhulin An et al.
Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
Jiacheng Cheng, Xiwen Yao, Xiang Yuan et al.
RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
Zhensheng Wang, Wenmian Yang, Kun Zhou et al.
Conformal Anomaly Detection in Event Sequences
Shuai Zhang, Chuan Zhou, Yang Liu et al.
The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation
Shiqin Wang, Xin Xu, Haoyang Chen et al.
Deep Multi-modal Graph Clustering via Graph Transformer Network
Qianqian Wang, Haiming Xu, Zihao Zhang et al.
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Guancheng Wan, Zewen Liu, Xiaojun Shan et al.
Tracking Everything Everywhere across Multiple Cameras
Li-Heng Wang, YuJu Cheng, Tyng-Luh Liu
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning
Gaole Dai, Chun-Kai Fan, Yiming Tang et al.
Are Key-Phrases All That Reviewers Care About? A Comprehensive Benchmarking of Reviewer Matchmaking Systems
Sourish Dasgupta, Harsh Sharma, Devansh Patel et al.
Revisit the Open Nature of Open Vocabulary Semantic Segmentation
Qiming Huang, Han Hu, Jianbo Jiao
Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision
Marco Cipriano, Moritz Feuerpfeil, Gerard de Melo
Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness
Yuntao Wang, Yuxuan Li, Qingyuan Yang et al.
DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks
Wei Liu, Li Yang, Mingxuan Zhao et al.
Bridging the Gap Between f-divergences and Bayes Hilbert Spaces
Linus Lach, Alexander Fottner, Yarema Okhrin
Prompt-based Depth Pruning of Large Language Models
Juyun Wee, Minjae Park, Jaeho Lee
EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization
He Wang, Longquan Dai, Jinhui Tang
Strategic Planning: A Top-Down Approach to Option Generation
Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
Keyue Qiu, Yuxuan Song, Jie Yu et al.
S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation
Gui Wang, Yuexiang Li, Wenting Chen et al.
Scene Graph-Grounded Image Generation
Fuyun Wang, Tong Zhang, Yuanzhi Wang et al.
A General Representation-Based Approach to Multi-Source Domain Adaptation
Ignavier Ng, Yan Li, Zijian Li et al.
Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
Ansgar Lößer, Max Schlecht, Florian Schintke et al.
A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection
Fu Wang, Yanghao Zhang, Xiangyu Yin et al.
McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension
Tongguan Wang, Mingmin Wu, Guixin Su et al.
Local Pan-privacy for Federated Analytics
Vitaly Feldman, Audra McMillan, Guy Rothblum et al.
Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization
Zeou Hu, Yaoliang Yu
Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions
Peiyao Lai, Oren Mangoubi
RA-GAR: A Richly Annotated Benchmark for Gait Attribute Recognition
Chenye Wang, Saihui Hou, Aoqi Li et al.
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling
Jieyi Wang, Yue Huang, Zeming Liu et al.
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu, Shimin Di, Haoyang LI et al.
VOILA: Complexity-Aware Universal Segmentation of CT Images by Voxel Interacting with Language
Zishuo Wan, Yu Gao, Wanyuan Pang et al.
Scalable First-order Method for Certifying Optimal k-Sparse GLMs
Jiachang Liu, Soroosh Shafiee, Andrea Lodi
HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction
Weihuang Wen, Tianshu Yu
Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning
Rina Bao, Shilong Dong, Zhenfang Chen et al.
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
Guoqing Wang, Wen Wu, Guangze Ye et al.
On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime
Hengquan Guo, Xin Liu
Memory-Augmented Re-Completion for 3D Semantic Scene Completion
Yu-Wen Tseng, Sheng-Ping Yang, Jhih-Ciang Wu et al.
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
William de Vazelhes, Xiaotong Yuan, Bin Gu
Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
Bharat Srikishan, Daniel O'Malley, Mohamed Mehana et al.
Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal
Deheng Yuan, Tao Guo, Zhongyi Huang
Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning
Austin Nguyen, Anri Gu, Michael Wellman
Generalization of noisy SGD in unbounded non-convex settings
Leello Dadi, Volkan Cevher
Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos
Haitao Tian, Pierre Payeur
FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
Chengying Fang, Wenke Huang, Guancheng Wan et al.
3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling
Zichen Tang, Hongyu Yang, Hanchen Zhang et al.
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
Yujun Huang, Bin Chen, Niu Lian et al.
From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction
Zhihao Tang, Xi Zhang, Chaozhuo Li
Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning
Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen et al.
Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
Ruoxin Yuan, Guanhua Fang
A Bregman Proximal Viewpoint on Neural Operators
Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo et al.
RAGG: Retrieval-Augmented Grasp Generation Model
Zhenhua Tang, Bin Zhu, Yanbin Hao et al.
Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness
Shuang Zeng, Yunwen Lei
Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human Feedback
Johannes Ackermann, Takashi Ishida, Masashi Sugiyama
A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation
Bingbing Wang, Yiming Du, Bin Liang et al.
Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability
Avrajit Ghosh, Soo Min Kwon, Rongrong Wang et al.
Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering
Zhaohe Liao, Jiangtong Li, Siyu Sun et al.
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori, Il-Min Kim, Guanghui Wang
Fugatto 1: Foundational Generative Audio Transformer Opus 1
Rafael Valle, Rohan Badlani, Zhifeng Kong et al.
Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering
Yalan Qin, Nan Pu, Guorui Feng et al.
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models
Eli Chien, Pan Li, Vamsi Potluru et al.
M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving
Xunpei Sun, Gang Chen, Zuoxun Hou
Finding and Only Finding Differential Nash Equilibria by Both Pretending to be a Follower
Guodong Zhang, Xuchan Bao
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation
Shoukun Sun, Min Xian, Tiankai Yao et al.
NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings
Jingyuan Sun, Mingxiao Li, Marie-Francine Moens
A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation
Shiyu Tian, Shuyue Xing, Xingrui Li et al.
SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization
Yan Liu, Mingjie Chen, Chaojie Ji et al.
Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation
Aishwarya Soni, Tanima Dutta
C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning
Zifan LIU, Xinran Li, Jun Zhang
Temporal Coherent Object Flow for Multi-Object Tracking
Zikai Song, Run Luo, Lintao Ma et al.
CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible Networks
Wenfeng Song, Yang Ding, Fei Hou et al.
Fine-Grained Perception in Panoramic Scenes: A Novel Task, Dataset, and Method for Object Importance Ranking
Jia Song, Chenglizhao Chen, Xu Yu et al.
MTSTRec: Multimodal Time-Aligned Shared Token Recommender
Ming-Yi Hong, Yen-Jung Hsu, Miao-Chen Chiang et al.
Transformers are Efficient Compilers, Provably
Xiyu Zhai, Runlong Zhou, Liao Zhang et al.
OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation
Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram
One for all and all for one: Efficient computation of partial Wasserstein distances on the line
Laetitia Chapel, Romain Tavenard
Topology-aware Neural Flux Prediction Guided by Physics
Haoyang Jiang, Jindong Wang, Xingquan Zhu et al.
Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation
Rui Shi, Yishun Dou, Zhong Zheng et al.
TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
Tsiry MAYET, Pourya Shamsolmoali, Simon Bernard et al.
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
Yi Feng, Kaito Fujii, EFSTRATIOS PANTELEIMON SKOULAKIS et al.
In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images
Junao Shen, Qiyun Hu, Tian Feng et al.
Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?
Ren-Biao Liu, Anqi Li, ChaodingYang et al.
Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning
Ankit Pratap Singh, Ahmed Abbasi, Namrata Vaswani
A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making
Yi Xie, Jaedong Hwang, Carlos Brody et al.
LineFlow: A Framework to Learn Active Control of Production Lines
Kai Müller, Martin Wenzel, Tobias Windisch
CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs
Zhiqiang Wang, Xiaoyi Wang, Jianqing Liang
Generative Point Cloud Registration
Haobo Jiang, Jin Xie, jian Yang et al.
Learning to Quantize for Training Vector-Quantized Networks
Peijia Qin, Jianguo Zhang
GenHMR: Generative Human Mesh Recovery
Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang et al.
One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment
Christina Sartzetaki, Gemma Roig, Cees G Snoek et al.
CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer
Ran Ran, Jiwei Wei, Xiangyi Cai et al.
Decomposition of Graphic Design with Unified Multimodal Model
Hui Nie, Zhao Zhang, Yutao Cheng et al.
GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
Nannan Wu, Yuming Huang, Yiming Zhao et al.
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation
Wentian Qu, Chenyu Meng, Heng Li et al.
HSOD-BIT-V2: A Challenging Benchmark for Hyperspectral Salient Object Detection
Yuhao Qiu, Shuyan Bai, Tingfa Xu et al.
Optimal Algorithm for Max-Min Fair Bandit
Zilong Wang, Zhiyao Zhang, Shuai Li
High-Fidelity Polarimetric Implicit 3D Reconstruction with View-Dependent Physical Representation
Yu Qiu, Sijia Wen, Hainan Zhang et al.
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
Pouria Fatemi, Ehsan Sharifian, Mohammad Hossein Yassaee
Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation
Yuhao Qing, Dan Zeng, Shaorong Xie et al.
Holistic Correction with Object Prototype for Video Object Segmentation
Shengye Qiao, Changqun Xia, Yanjie Liang et al.
PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement
Wei Qian, Gaoji Su, Dan Guo et al.
Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery
Jiahao Qi, Xingyue Liu, Chen Chen et al.
Learning Minimum-Size BDDs: Towards Efficient Exact Algorithms
Christian Komusiewicz, André Schidler, Frank Sommer et al.
Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation
Bin Pu, Xingguo Lv, Jiewen Yang et al.
Scaling Web Agent Training through Automatic Data Generation and Fine-grained Evaluation
Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn et al.
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
Kai Sun, Hao Wu, Bin Shi et al.
HVDualformer: Histogram-Vision Dual Transformer for White Balance
Yan-Tsung Peng, Guan-Rong Chen
Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou
OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow
Xiongfeng Peng, Zhihua Liu, Weiming Li et al.
3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition
Luying Peng, Xiangbo Shu, Yazhou Yao et al.
Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models
Xin Cheng, Jiabo Ye, Haiyang Xu et al.
Boosting Image De-Raining via Central-Surrounding Synergistic Convolution
Long Peng, Yang Wang, Xin Di et al.
Pretrained Hybrids with MAD Skills
Nicholas Roberts, Samuel Guo, Zhiqi Gao et al.
CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification
Jinjia Peng, Songyu Zhang, Huibing Wang
SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models
Joon Hyun Park, Kumju Jo, Sungyong Baik
T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning
Nabarun Goswami, Hanqin Wang, Tatsuya Harada
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers
Hui Pang, Chaozhuo Li, Litian Zhang et al.
FDGen: A Fairness-Aware Graph Generation Model
Zichong Wang, Wenbin Zhang
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective
Subhodip Panda, Shashwat Sourav, Prathosh A.P.
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
Zhiyi Pan, Nan Zhang, Wei Gao et al.
Enhancing Foundation Models with Federated Domain Knowledge Infusion
Jiaqi Wang, Jingtao Li, Weiming Zhuang et al.
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
Harvineet Singh, Fan Xia, Alexej Gossmann et al.
Procedure Knowledge Decoupled Distillation Strategy for Procedure Planning in Instructional Videos
Xiaotian Pan, Zhaobo Qi, Xin Sun et al.
Fair Training with Zero Inputs
Wenjie Pan, Jianqing Zhu, Huanqiang Zeng
Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi et al.
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
Linchao Pan, Can Gao, Jie Zhou et al.
Interweaving Memories of a Siamese Large Language Model
Xin Song, Zhikai Xue, Guoxiu He et al.
Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying
Songlin Zhai, Yuan Meng, Yongrui Chen et al.
UniRestore3D: A Scalable Framework For General Shape Restoration
Yuang Wang, Yujian Zhang, Sida Peng et al.
Inside-Out: Hidden Factual Knowledge in LLMs
Zorik Gekhman, Eyal Ben-David, Hadas Orgad et al.
Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World
Chenyu Mu, Jiahua Li, Kun Wei et al.
Approximately Correct Label Distribution Learning
Weiwei Li, Haitao Wu, Yunan Lu et al.
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models
Keith G. Mills, Mohammad Salameh, Ruichen Chen et al.
Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction
Ge Meng, Jingyan Tu, Jingjia Huang et al.
Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences
Kirsten Morehouse, Siddharth Swaroop, Weiwei Pan
Benchmarking Retrieval-Augmented Generation for Chemistry
Xianrui Zhong, Bowen Jin, Siru Ouyang et al.
OUS: Bridging Scene Context and Facial Features to Overcome the Rigid Cognitive Problem
Xinji Mai, Haoran Wang, Zeng Tao et al.
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling
Zhen-Xiang Ma, Zhen-Duo Chen, Tai Zheng et al.
Online Pre-Training for Offline-to-Online Reinforcement Learning
Yongjae Shin, Jeonghye Kim, Whiyoung Jung et al.
Follow-Your-Click: Open-domain Regional Image Animation via Motion Prompts
Yue Ma, Yingqing He, Hongfa Wang et al.
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography
Xinghua Ma, Xinyan Fang, Mingye Zou et al.
Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning
Weijian Ma, Ruoxin Chen, Keyue Zhang et al.
Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection
Jitao Ma, Weiying Xie, Hangyu Ye et al.
UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
Peiwen Yuan, Shaoxiong Feng, Yiwei Li et al.
TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
Qinglong Liu, Cong Xu, Wenhao Jiang et al.
Problem-Parameter-Free Federated Learning
Wenjing Yan, Kai Zhang, Xiaolu Wang et al.
Prior Knowledge Guided Neural Architecture Generation
Jingrong Xie, Han Ji, Yanan Sun
Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
Shengju Yu, Zhibin Dong, Siwei Wang et al.
ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation
Liang Lv, Lefei Zhang
MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification
TianChi Xing, Bonan Li, Congying Han et al.
FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
Kei Sen Fong, Mehul Motani
Revisiting Change Captioning from Self-supervised Global-Part Alignment
Feixiao Lv, Rui Wang, Lihua Jing
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation
Naisong Luo, Guoxin Xiong, Tianzhu Zhang
DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning
Yifan Lu, Jiajun Le, Zizhuo Li et al.
Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators
Bin Lu, Xinyu Xiao, Changzhou Zhang et al.
ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
Zhehan Zhao, Lu Bai, Lixin Cui et al.
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
Yuti Liu, Shice Liu, Junyuan Gao et al.
See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI
Yulong Liu, Yongqiang Ma, Guibo Zhu et al.
Probabilistic Factorial Experimental Design for Combinatorial Interventions
Divya Shyamal, Jiaqi Zhang, Caroline Uhler
Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization
Yishu Liu, Jiawei Zhu, Congcong Wen et al.
DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes
Yang Liu, Feng Hou, Yunjie Peng et al.
Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation
Yajie Liu, Guodong Wang, Jinjin Zhang et al.
ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen et al.
Multi-view Consistent 3D Panoptic Scene Understanding
Xianzhu Liu, Xin Sun, Haozhe Xie et al.
A Trichotomy for List Transductive Online Learning
Steve Hanneke, Amirreza Shaeiri
Random Registers for Cross-Domain Few-Shot Learning
Shuai Yi, Yixiong Zou, Yuhua Li et al.
The Missing Alignment Link of In-context Learning on Sequences
Harshvardhan Agarwal, Sunita Sarawagi
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints
Qinglin Liu, Zonglin Li, Xiaoqian Lv et al.