Most Cited 2025 "numerical reconstruction" Papers
22,274 papers found • Page 73 of 112
Conference
ML4CFD Competition: Results and Retrospective Analysis
Mouadh Yagoubi, David Danan, Milad LEYLI ABADI et al.
Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery
Jiahua Rao, Hanjing Lin, Leyu Chen et al.
Exploring Landscapes for Better Minima along Valleys
Tong Zhao, Jiacheng Li, Yuanchang Zhou et al.
AutoOpt: A Dataset and a Unified Framework for Automating Optimization Problem Solving
Ankur Sinha, Shobhit Arora, Dhaval Pujara
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
Yinqi Li, Jiahe Zhao, Hong Chang et al.
Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws
Lin Guo, Xiaoqing Luo, Wei Xie et al.
RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization
Dongki Jung, Jaehoon Choi, Yonghan Lee et al.
Steering When Necessary: Flexible Steering Large Language Models with Backtracking
Zifeng Cheng, Jinwei Gan, Zhiwei Jiang et al.
PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data
CHANGHEE YANG, Hyeonseop Song, Seokhun Choi et al.
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
Manyi Yao, Bingbing Zhuang, Sparsh Garg et al.
ModHiFi: Identifying High Fidelity predictive components for Model Modification
Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak et al.
PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
Ruixin Guo, Ruoming Jin, Xinyu Li et al.
Robust Hyperbolic Learning with Curvature-Aware Optimization
Ahmad Bdeir, Johannes Burchert, Lars Schmidt-Thieme et al.
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
Jing Wang, Songhe Feng, Kristoffer Knutsen Wickstrøm et al.
MotionDiff: Training-free Zero-shot Interactive Motion Editing via Flow-assisted Multi-view Diffusion
Yikun Ma, Yiqing Li, Jiawei Wu et al.
FPEM: Face Prior Enhanced Facial Attractiveness Prediction for Live Videos with Face Retouching
Hui Li, Xiaoyu Ren, Hongjiu Yu et al.
DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework
Yalong Xu, Lin Zhao, Chen Gong et al.
Forecasting Continuous Non-Conservative Dynamical Systems in SO(3)
Lennart Bastian, Mohammad Rashed, Nassir Navab et al.
VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations
Qianqian Qiao, DanDan Zheng, Yihang Bo et al.
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications
Agam Shah, Siddhant Sukhani, Huzaifa Pardawala et al.
Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
Tianjun Yao, Haoxuan Li, Yongqiang Chen et al.
DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
Alan J.X. Guo, Sihan Sun, Xiang Wei et al.
HSI: A Holistic Style Injector for Arbitrary Style Transfer
Shuhao Zhang, Hui Kang, Yang Liu et al.
What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes
Candace Ross, Florian Bordes, Adina Williams et al.
STD-GS: Exploring Frame-Event Interaction for SpatioTemporal-Disentangled Gaussian Splatting to Reconstruct High-Dynamic Scene
Hanyu Zhou, Haonan Wang, Haoyue Liu et al.
CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
Seewon Choi, Alaia Solko-Breslin, Rajeev Alur et al.
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
Fei Xie, Jiahao Nie, Yujin Tang et al.
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
Changhao Peng
A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
Hang Su, Yunlong Feng, Daniel Gehrig et al.
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
Binh Ho, Long Nguyen-Chi, TrungTin Nguyen et al.
Active Measurement: Efficient Estimation at Scale
Max Hamilton, Jinlin Lai, Wenlong Zhao et al.
HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration
Xiyu Zhang, Jiayi Ma, Jianwei Guo et al.
Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection
Qi Chen, Hu Ding
Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation
Ziying Li, Xuequan Lu, Xinkui Zhao et al.
Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
Xinyan Su, Zhiheng Zhang, Jiyan Qiu et al.
Certifiably Optimal Anisotropic Rotation Averaging
Carl Olsson, Yaroslava Lochman, Johan Malmport et al.
LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought
Cheng Yan, Felix Mohr, Tom Viering
Quantifying Uncertainty in the Presence of Distribution Shifts
Yuli Slavutsky, David Blei
MIORe & VAR-MIORe: Benchmarks to Push the Boundaries of Restoration
George Ciubotariu, Zhuyun Zhou, Zongwei Wu et al.
RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning
Chengyu Zheng, Honghua Chen, Jin Huang et al.
Few-shot Implicit Function Generation via Equivariance
Suizhi Huang, Xingyi Yang, Hongtao Lu et al.
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems
Yinsicheng Jiang, Yao Fu, Yeqi Huang et al.
Zero-Shot Vision Encoder Grafting via LLM Surrogates
Kaiyu Yue, Vasu Singla, Menglin Jia et al.
CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor Segmentation
Zhenhui Ding, Guilian Chen, Qin Zhang et al.
DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
Yupu Zhang, Zelin Xu, Tingsong Xiao et al.
Chain-of-Model Learning for Language Model
Xiaohua Wang, Kaitao Song, Xu Tan et al.
OV-SCAN: Semantically Consistent Alignment for Novel Object Discovery in Open-Vocabulary 3D Object Detection
Adrian Chow, Evelien Riddell, Yimu Wang et al.
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
Sara Al-Emadi, Yin Yang, Ferda Ofli
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.
VSNet: Focusing on the Linguistic Characteristics of Sign Language
Yuhao Li, Xinyue Chen, Hongkai Li et al.
All in One: Visual-Description-Guided Unified Point Cloud Segmentation
Zongyan Han, Mohamed El Amine Boudjoghra, Jiahua Dong et al.
Link to the Past: Temporal Propagation for Fast 3D Human Reconstruction from Monocular Video
Marchellus Matthew, Nadhira Noor, In Kyu Park
MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?
Kai Yan, Zhan Ling, Kang Liu et al.
MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations
Wenxiang Guo, Changhao Pan, Zhiyuan Zhu et al.
EDBench: Large-Scale Electron Density Data for Molecular Modeling
Hongxin Xiang, Ke Li, Mingquan Liu et al.
Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
Ping Guo, Yubing Ren, BINBINLIU et al.
Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
Efthymia Tsamoura, Kaifu Wang, Dan Roth
Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
Li Fang, Hao Zhu, Longlong Chen et al.
Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
Mingze Dong, Leda Wang, Yuval Kluger
ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning
Mingqi Yuan, Bo Li, Xin Jin et al.
Prediction-Powered Semi-Supervised Learning with Online Power Tuning
Noa Shoham, Ron Dorfman, Shalev Shaer et al.
Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
Haonan Wang, Hanyu Zhou, Haoyue Liu et al.
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory
Jonas Kälble, Sascha Wirges, Maxim Tatarchenko et al.
ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction
Soonwoo Cha, Jiwoo Song, Juan Yeo et al.
ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design
Qijun Zhang, Yao Lu, Mengming Li et al.
A Plug-and-Play Physical Motion Restoration Approach for In-the-Wild High-Difficulty Motions
Youliang Zhang, Ronghui Li, Yachao Zhang et al.
Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification
Zequn Zeng, Yudi Su, Jianqiao Sun et al.
Attention to Neural Plagiarism: Diffusion Models Can Plagiarize Your Copyrighted Images!
zihang zou, Boqing Gong, Liqiang Wang
SVLTA: Benchmarking Vision-Language Temporal Alignment via Synthetic Video Situation
Hao Du, Bo Wu, Yan Lu et al.
Learning to Condition: A Neural Heuristic for Scalable MPE Inference
Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.
Benchmarking Burst Super-Resolution for Polarization Images: Noise Dataset and Analysis
Inseung Hwang, Kiseok Choi, Hyunho Ha et al.
Risk Bounds For Distributional Regression
Carlos Misael Madrid Padilla, OSCAR HERNAN MADRID PADILLA, Sabyasachi Chatterjee
Improved Training Technique for Shortcut Models
Anh Nguyen, Viet Nguyen, Duc Vu et al.
CoSER: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation
Bonan Li, Zicheng Zhang, Xingyi Yang et al.
Neural B-frame Video Compression with Bi-directional Reference Harmonization
Yuxi Liu, jin dengchao, Shuai Huo et al.
E-SAM: Training-Free Segment Every Entity Model
WEIMING ZHANG, Dingwen Xiao, Lei Chen et al.
Improving Personalized Search with Regularized Low-Rank Parameter Updates
Fiona Ryan, Josef Sivic, Fabian Caba Heilbron et al.
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
Jiansheng Li, Xingxuan Zhang, Hao Zou et al.
PARROT: A Benchmark for Evaluating LLMs in Cross-System SQL Translation
Wei Zhou, Guoliang Li, Haoyu Wang et al.
Conditioning Matters: Training Diffusion Policies is Faster Than You Think
Zibin Dong, Yicheng Liu, Yinchuan Li et al.
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka et al.
C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
Kunlun Xu, Yibo Feng, Jiangmeng Li et al.
Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
Viet Anh Khoa Tran, Emre Neftci, Willem Wybo
Kinaema: a recurrent sequence model for memory and pose in motion
Mert Bulent Sariyildiz, Philippe Weinzaepfel, Guillaume Bono et al.
Are Large Language Models Sensitive to the Motives Behind Communication?
Addison J. Wu, Ryan Liu, Kerem Oktar et al.
CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
Yichen Yan, Ming Zhong, Qi Zhu et al.
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
Kushagra Gupta, Surya Murthy, Mustafa Karabag et al.
Towards Foundational Models for Single-Chip Radar
Tianshu Huang, Akarsh Prabhakara, Chuhan Chen et al.
Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
Mingjie Li, Wai Man Si, Michael Backes et al.
Point Cloud Synthesis Using Inner Product Transforms
Ernst Röell, Bastian Rieck
The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models
Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis
What Does It Take to Build a Performant Selective Classifier?
Stephan Rabanser, Nicolas Papernot
Twinner: Shining Light on Digital Twins in a Few Snaps
Jesus Zarzar, Tom Monnier, Roman Shapovalov et al.
Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
Qingmei Li, Yang Zhang, Zurong Mai et al.
Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
Jan Philipp Schneider, Pratik S. Bisht, Ilya Chugunov et al.
Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision
Manon Dampfhoffer, Thomas Mesquida, Damien Joubert et al.
RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters
Xiaolin Liu, Tianyi zhou, Hongbo Kang et al.
SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
Haiming Zhang, Yiyao Zhu, Wending Zhou et al.
Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
Junchi Yu, Yujie Liu, Jindong Gu et al.
DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
Sangwoo Kwon, Seong Hoon Seo, Jae W. Lee et al.
ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads
Yifan Li, Xin Li, Tianqin Li et al.
MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
Shu Wang, Yanbo Gao, Shuai Li et al.
Self Iterative Label Refinement via Robust Unlabeled Learning
Hikaru Asano, Tadashi Kozuno, Yukino Baba
Staining and Locking Computer Vision Models Without Retraining
Oliver Sutton, Qinghua Zhou, George Leete et al.
AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
Saleh Momeni, Changnan Xiao, Bing Liu
When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation
Pan Liu, Jinshi Liu
UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing
Yung-Hsuan Lai, Janek Ebbers, Yu-Chiang Frank Wang et al.
Argus: A Compact and Versatile Foundation Model for Vision
Weiming Zhuang, Chen Chen, Zhizhong Li et al.
DyFlow: Dynamic Workflow Framework for Agentic Reasoning
Yanbo Wang, Zixiang Xu, Yue Huang et al.
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Jiate Li, Meng Pang, Yun Dong et al.
Understanding Museum Exhibits using Vision-Language Reasoning
Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca et al.
Missing Data Imputation by Reducing Mutual Information with Rectified Flows
Jiahao Yu, Qizhen Ying, Leyang Wang et al.
MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
Yunkee Chae, Kyogu Lee
Stepsize anything: A unified learning rate schedule for budgeted-iteration training
Anda Tang, Yiming Dong, Yutao Zeng et al.
Universal Domain Adaptation for Semantic Segmentation
Seun-An Choe, Keon Hee Park, Jinwoo Choi et al.
NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation
Longtian Qiu, Shan Ning, Jiaxuan Sun et al.
NTClick: Achieving Precise Interactive Segmentation With Noise-tolerant Clicks
Chenyi Zhang, Ting Liu, Xiaochao Qu et al.
PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking
Zekai Shao, Yufan Hu, Bin Fan et al.
Gradient Extrapolation for Debiased Representation Learning
Ihab Asaad, Maha Shadaydeh, Joachim Denzler
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
Duong Nguyen, Nghia Hoang, Thanh Trung Huynh et al.
InstantEdit: Text-Guided Few-Step Image Editing with Piecewise Rectified Flow
Yiming Gong, Zhen Zhu, Minjia Zhang
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning
Dongyao Jiang, Haodong Jing, Yongqiang Ma et al.
Generalizable Non-Line-of-Sight Imaging with Learnable Physical Priors
Shida Sun, Yue Li, Yueyi Zhang et al.
Learning to See in the Extremely Dark
Hai Jiang, Binhao Guan, Zhen Liu et al.
Online Learning of Pure States is as Hard as Mixed States
Maxime Meyer, Soumik Adhikary, Naixu Guo et al.
Provable Gradient Editing of Deep Neural Networks
Zhe Tao, Aditya V Thakur
UIP2P: Unsupervised Instruction-based Image Editing via Edit Reversibility Constraint
Enis Simsar, Alessio Tonioni, Yongqin Xian et al.
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
Yuechen Xie, Jie Song, Huiqiong Wang et al.
Adapting to Observation Length of Trajectory Prediction via Contrastive Learning
Ruiqi Qiu, JUN GONG, Xinyu Zhang et al.
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences
Hadi Hosseini, Samarth Khanna, Ronak Singh
LiSu: A Dataset and Method for LiDAR Surface Normal Estimation
Dušan Malić, Christian Fruhwirth-Reisinger, Samuel Schulter et al.
ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation
Tao Tan, Qiulei Dong
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
Chris Dongjoo Kim, Jihwan Moon, Sangwoo Moon et al.
CroCoDL: Cross-device Collaborative Dataset for Localization
Hermann Blum, Alessandro Mercurio, Joshua O'Reilly et al.
ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
Xiaolong Wang, Lixiang Ru, Ziyuan Huang et al.
Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning
Wenjin Mo, Zhiyuan Li, Minghong Fang et al.
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
Xiao Han, ZIMO ZHAO, Wanyu Wang et al.
MemoryTalker: Personalized Speech-Driven 3D Facial Animation via Audio-Guided Stylization
Hyung Kyu Kim, Sangmin Lee, HAK GU KIM
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
Hao Wei, Aleksandra Franz, Björn List et al.
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
Takeshi Koshizuka, Issei Sato
NN-Former: Rethinking Graph Structure in Neural Architecture Representation
Ruihan Xu, Haokui Zhang, Yaowei Wang et al.
ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning
Quanxing Zha, Xin Liu, Shu-Juan Peng et al.
POMP: Physics-constrainable Motion Generative Model through Phase Manifolds
Bin Ji, Ye Pan, zhimeng Liu et al.
Temporal Action Detection Model Compression by Progressive Block Drop
Xiaoyong Chen, Yong Guo, Jiaming Liang et al.
Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection
Zihao Zhang, Aming Wu, Yahong Han
FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks
Chenhui Xu, Dancheng Liu, Amir Nassereldine et al.
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
Hang Phung, Manh Nguyen, Thanh Huynh et al.
SyncSDE: A Probabilistic Framework for Diffusion Synchronization
Hyunjun Lee, Hyunsoo Lee, Sookwan Han
Unlearning the Noisy Correspondence Makes CLIP More Robust
Haochen Han, Alex Jinpeng Wang, Peijun Ye et al.
Understanding Flatness in Generative Models: Its Role and Benefits
Taehwan Lee, Kyeongkook Seo, Jaejun Yoo et al.
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
Ahmed Masry, Juan Rodriguez, Tianyu Zhang et al.
Value Improved Actor Critic Algorithms
Yaniv Oren, Moritz Zanger, Pascal van der Vaart et al.
Inference with correlated priors using sisters cells
Sina Tootoonian, Andreas Schaefer
An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval
Jaeseok Byun, Seokhyeon Jeong, Wonjae Kim et al.
SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding
Thomas Walton, Darin Tsui, Aryan Musharaf et al.
Curious Causality-Seeking Agents Learn Meta Causal World
Zhiyu Zhao, Haoxuan Li, Haifeng Zhang et al.
pLSTM: parallelizable Linear Source Transition Mark networks
Korbinian Pöppel, Richard Freinschlag, Thomas Schmied et al.
On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani et al.
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang et al.
Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
Fred Xu, Thomas Markovich
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning
Wenhao Gu, Li Gu, Ching Suen et al.
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
Marc Brooks, Gabriel Durham, Kihyuk Hong et al.
PARTE: Part-Guided Texturing for 3D Human Reconstruction from a Single Image
Hyeongjin Nam, Donghwan Kim, Gyeongsik Moon et al.
miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward
Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
Wei Yang, Rui Zhong, Yiqun Chen et al.
Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models
Minghao Yin, Yukang Cao, Kai Han
Global-Aware Monocular Semantic Scene Completion with State Space Models
Shijie Li, Zhongyao Cheng, Rong Li et al.
Dimension-adapted Momentum Outscales SGD
Damien Ferbach, Katie Everett, Gauthier Gidel et al.
DIMO: Diverse 3D Motion Generation for Arbitrary Objects
Linzhan Mou, Jiahui Lei, Chen Wang et al.
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
Jisoo Kim, Sungmin Kang, Sunwoo Lee
Geometric Mixture Models for Electrolyte Conductivity Prediction
Anyi Li, Jiacheng Cen, Songyou Li et al.
Learning Stochastic Multiscale Models
Andrew F. Ilersich, Prasanth Nair
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
Jiacong Chen, Qingyu Mao, Youneng Bao et al.
MaSS13K: A Matting-level Semantic Segmentation Benchmark
Chenxi Xie, Minghan LI, Hui Zeng et al.
EUGens: Efficient, Unified and General Dense Layers
Sang Min Kim, Byeongchan Kim, Arijit Sehanobish et al.
Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
Kunyun Wang, Bohan Li, Kai Yu et al.
Beyond Blur: A Fluid Perspective on Generative Diffusion Models
Grzegorz Gruszczynski, Jakub Meixner, Michał Włodarczyk et al.
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
Junhao Zheng, Jiahao Sun, Chenhao Lin et al.
Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
Syamantak Kumar, Dheeraj Nagaraj, Purnamrita Sarkar
CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models
Benjamin Herdeanu, Juan Nathaniel, Carla Roesch et al.
The Flood Complex: Large-Scale Persistent Homology on Millions of Points
Florian Graf, Paolo Pellizzoni, Martin Uray et al.
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Raphael Romero, Tijl De Bie, Nick Heard et al.
AIM: Amending Inherent Interpretability via Self-Supervised Masking
Eyad Alshami, Shashank Agnihotri, Bernt Schiele et al.
Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
Frank Röder, Jan Benad, Manfred Eppe et al.
D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation
Jichun Zhao, Haiyong Jiang, Haoxuan Song et al.
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation
Ziyan Wang, Sizhe Wei, Xiaoming Huo et al.
Quad-Pixel Image Defocus Deblurring: A New Benchmark and Model
Hang Chen, Yin Xie, Xiaoxiu Peng et al.
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
Yisong Fu, Fei Wang, Zezhi Shao et al.
Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation
Qitong Yang, Mingtao Feng, Zijie Wu et al.
LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
Masih Aminbeidokhti, Subhankar Roy, Eric Granger et al.
One Last Attention for Your Vision-Language Model
Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao et al.
Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits
Shogo Iwazaki
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression
Dohyun Kim, Sehwan Park, GeonHee Han et al.
$i$MIND: Insightful Multi-subject Invariant Neural Decoding
Zixiang Yin, Jiarui Li, Zhengming Ding
A Conditional Probability Framework for Compositional Zero-shot Learning
Peng Wu, Qiuxia Lai, Hao Fang et al.
LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching
Meng Tian, Shuo Yang, Xinxiao Wu
APT: Adaptive Personalized Training for Diffusion Models with Limited Data
JungWoo Chae, Jiyoon Kim, Jaewoong Choi et al.
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
Chaochen Gao, Xing W, Zijia Lin et al.
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
Hyeonggeun Han, Sehwan Kim, Hyungjun Joo et al.
AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes
Tianyi Xu, Fan Zhang, Boxin Shi et al.