Most Cited 2025 "sequential monte carlo" Papers

Geometry-Aware Edge Pooling for Graph Neural Networks

Katharina Limbeck, Lydia Mezrag, Guy Wolf et al.

Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)

Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski et al.

OFER: Occluded Face Expression Reconstruction

Pratheba Selvaraju, Victoria Abrevaya, Timo Bolkart et al.

Efficient Spiking Point Mamba for Point Cloud Analysis

Peixi Wu, Bosong Chai, Menghua Zheng et al.

REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder

Yitian Zhang, Long Mai, Aniruddha Mahapatra et al.

Self-Supervised Learning of Graph Representations for Network Intrusion Detection

Lorenzo Guerra, Thomas Chapuis, Guillaume Duc et al.

ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams

Chris Dongjoo Kim, Jihwan Moon, Sangwoo Moon et al.

NN-Former: Rethinking Graph Structure in Neural Architecture Representation

Ruihan Xu, Haokui Zhang, Yaowei Wang et al.

Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models

Minghao Yin, Yukang Cao, Kai Han

POMP: Physics-constrainable Motion Generative Model through Phase Manifolds

Bin Ji, Ye Pan, zhimeng Liu et al.

Bidirectional Representations Augmented Autoregressive Biological Sequence Generation: Application in De Novo Peptide Sequencing

Xiang Zhang, Jiaqi Wei, Zijie Qiu et al.

Temporal Action Detection Model Compression by Progressive Block Drop

Xiaoyong Chen, Yong Guo, Jiaming Liang et al.

un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP

Yinqi Li, Jiahe Zhao, Hong Chang et al.

Dimension-adapted Momentum Outscales SGD

Damien Ferbach, Katie Everett, Gauthier Gidel et al.

Occlusion-robust Stylization for Drawing-based 3D Animation

Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee et al.

Conditional Distribution Compression via the Kernel Conditional Mean Embedding

Dominic Broadbent, Nick Whiteley, Robert Allison et al.

Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning

Wenhao Gu, Li Gu, Ching Suen et al.

Scheduling Weight Transitions for Quantization-Aware Training

Junghyup Lee, Jeimin Jeon, Dohyung Kim et al.

Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings

Xingguang Wei, Haomin Wang, Shenglong Ye et al.

ASCENT: Annotation-free Self-supervised Contrastive Embeddings for 3D Neuron Tracking in Fluorescence Microscopy

Haejun Han, Hang Lu

A Differential and Pointwise Control Approach to Reinforcement Learning

Minh Nguyen, Chandrajit Bajaj

Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning

Jisoo Kim, Sungmin Kang, Sunwoo Lee

Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching

Giacomo Meanti, Thomas Ryckeboer, Michael Arbel et al.

MaSS13K: A Matting-level Semantic Segmentation Benchmark

Chenxi Xie, Minghan LI, Hui Zeng et al.

Geometric Mixture Models for Electrolyte Conductivity Prediction

Anyi Li, Jiacheng Cen, Songyou Li et al.

Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models

Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Ozlem Garibay

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Christodoulos Constantinides, Dhaval Patel, Shuxin Lin et al.

Visual Surface Wave Elastography: Revealing Subsurface Physical Properties via Visible Surface Waves

Alexander Ogren, Berthy Feng, Jihoon Ahn et al.

Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming

Alex Chouldechova, A. Feder Cooper, Solon Barocas et al.

Improved Training Technique for Shortcut Models

Anh Nguyen, Viet Nguyen, Duc Vu et al.

From Euler to AI: Unifying Formulas for Mathematical Constants

Tomer Raz, Michael Shalyt, Elyasheev Leibtag et al.

LLM Interpretability with Identifiable Temporal-Instantaneous Representation

Xiangchen Song, Jiaqi Sun, Zijian Li et al.

DreamLight: Towards Harmonious and Consistent Image Relighting

Yong Liu, Wenpeng Xiao, Qianqian Wang et al.

Geometry of Decision Making in Language Models

Abhinav Joshi, Divyanshu Bhatt, Ashutosh Modi

HeatFormer: A Neural Optimizer for Multiview Human Mesh Recovery

Yuto Matsubara, Ko Nishino

Automatic Spectral Calibration of Hyperspectral Images: Method, Dataset and Benchmark

Zhuoran Du, Shaodi You, Cheng Cheng et al.

D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation

Jichun Zhao, Haiyong Jiang, Haoxuan Song et al.

PolarAnything: Diffusion-based Polarimetric Image Synthesis

Kailong Zhang, Youwei Lyu, Heng Guo et al.

Attention on the Sphere

Boris Bonev, Max Rietmann, Andrea Paris et al.

Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning.

Daniel DeAlcala, Aythami Morales, Julian Fierrez et al.

Quad-Pixel Image Defocus Deblurring: A New Benchmark and Model

Hang Chen, Yin Xie, Xiaoxiu Peng et al.

Transformers are almost optimal metalearners for linear classification

Roey Magen, Gal Vardi

Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation

Qitong Yang, Mingtao Feng, Zijie Wu et al.

Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression

Dohyun Kim, Sehwan Park, GeonHee Han et al.

Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains

Marianne Rakic, Siyu Gai, Etienne Chollet et al.

ARMO: Autoregressive Rigging for Multi-Category Objects

mingze sun, Shiwei Mao, Keyi Chen et al.

Learning Stochastic Multiscale Models

Andrew F. Ilersich, Prasanth Nair

Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning

Yeongbin Seo, Dongha Lee, Jaehyung Kim et al.

APT: Adaptive Personalized Training for Diffusion Models with Limited Data

JungWoo Chae, Jiyoon Kim, Jaewoong Choi et al.

Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction

Jiacong Chen, Qingyu Mao, Youneng Bao et al.

Regularized least squares learning with heavy-tailed noise is minimax optimal

Mattes Mollenhauer, Nicole Muecke, Dimitri Meunier et al.

When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation

Pan Liu, Jinshi Liu

Last Iterate Convergence of Incremental Methods as a Model of Forgetting

Xufeng Cai, Jelena Diakonikolas

One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs

Pengbo Wang, Chaozhuo Li, Chenxu Wang et al.

VSRM: A Robust Mamba-Based Framework for Video Super-Resolution

Phu Tran Dinh, Hung Dao, Daeyoung Kim

Unified Reconstruction of Static and Dynamic Scenes from Events

Qiyao Gao, Peiqi Duan, Hanyue Lou et al.

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection

Xinhua Lu, Runhe Lai, Yanqi Wu et al.

GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar

SeungJun Moon, Hah Min Lew, Seungeun Lee et al.

Skeleton Motion Words for Unsupervised Skeleton-based Temporal Action Segmentation

Uzay Gökay, Federico Spurio, Dominik Bach et al.

Flow Matching Neural Processes

Hussen Abu Hamad, Dan Rosenbaum

EUGens: Efficient, Unified and General Dense Layers

Sang Min Kim, Byeongchan Kim, Arijit Sehanobish et al.

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics

Qinshuo Liu, Weiqin Zhao, Wei Huang et al.

Tight analyses of first-order methods with error feedback

Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads

Yifan Li, Xin Li, Tianqin Li et al.

No More Sibling Rivalry: Debiasing Human-Object Interaction Detection

Bin Yang, Yulin Zhang, Hong-Yu Zhou et al.

Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation

Ningyuan Tang, Minghao Fu, Jianxin Wu

Bandit Learning in Matching Markets with Indifference

Fang Kong, Jingqi Tang, Mingzhu Li et al.

From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition

Ling Lo, Kelvin Chan, Wen-Huang Cheng et al.

Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning

Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang et al.

Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction

Xiaohan Qin, Xiaoxing Wang, Junchi Yan

Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation

Changguang WU, Jiangxin Dong, Chengjian Li et al.

The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models

Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis

Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism

Kunyun Wang, Bohan Li, Kai Yu et al.

Neural B-frame Video Compression with Bi-directional Reference Harmonization

Yuxi Liu, jin dengchao, Shuai Huo et al.

Vision-Guided Action: Enhancing 3D Human Motion Prediction with Gaze-informed Affordance in 3D Scenes

Ting Yu, Yi Lin, Jun Yu et al.

RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization

Dongki Jung, Jaehoon Choi, Yonghan Lee et al.

Pseudo-SD: Pseudo Controlled Stable Diffusion for Semi-Supervised and Cross-Domain Semantic Segmentation

Dong Zhao, Qi Zang, Shuang Wang et al.

SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts

Yueh-Han Chen, Guy Davidson, Brenden Lake

Relation-Rich Visual Document Generator for Visual Information Extraction

Zi-Han Jiang, Chien-Wei Lin, WeiHua 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.

Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration

Jiani Ni, He Zhao, Jintong Gao et al.

Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability

Divya Jyoti Bajpai, Manjesh Kumar Hanawal

Scale-Free Graph-Language Models

Jianglin Lu, Yixuan Liu, Yitian Zhang et al.

Learning Implicit Features with Flow-Infused Transformations for Realistic Virtual Try-On

Delong Zhang, Qiwei Huang, Yang Sun et al.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression

Michael Crawshaw, Blake Woodworth, Mingrui Liu

Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization

Antonio Ribeiro, David Vävinggren, Dave Zachariah et al.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection

Changhao Li, Xinrui Chen, Ji Wang et al.

MergeOcc: Bridge the Domain Gap between Different LiDARs for Robust Occupancy Prediction

Zikun Xu, Shaobing Xu

Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning

Wenjin Mo, Zhiyuan Li, Minghong Fang et al.

ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction

Soonwoo Cha, Jiwoo Song, Juan Yeo et al.

Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations

Chongjie Si, Zhiyi Shi, Xuehui Wang et al.

The third pillar of causal analysis? A measurement perspective on causal representations

Dingling Yao, Shimeng Huang, Riccardo Cadei et al.

PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers

Wooju Lee, Juhye Park, Dasol Hong et al.

From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes

Tianxu Wang, Zhuofan Zhang, Ziyu Zhu et al.

CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks

Zhixiang Guo, Siyuan Liang, Aishan Liu et al.

An Image-like Diffusion Method for Human-Object Interaction Detection

Xiaofei Hui, Haoxuan Qu, Hossein Rahmani et al.

Staining and Locking Computer Vision Models Without Retraining

Oliver Sutton, Qinghua Zhou, George Leete et al.

Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA

Mingyu Huang, Shasha Zhou, Ke Li

Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark

Jinyuan Liu, Zihang Chen, Zhu Liu et al.

ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning

Mingqi Yuan, Bo Li, Xin Jin et al.

An Investigation of Memorization Risk in Healthcare Foundation Models

Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour et al.

Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality

Liyan Chen, Gregory P. Meyer, Zaiwei Zhang et al.

Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning

Torben Berndt, Benjamin Walker, Tiexin Qin et al.

Creating Your Editable 3D Photorealistic Avatar with Tetrahedron-constrained Gaussian Splatting

Hanxi Liu, Yifang Men, Zhouhui Lian

GeoClip: Geometry-Aware Clipping for Differentially Private SGD

Atefeh Gilani, Naima Tasnim, Lalitha Sankar et al.

UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines

Chen Tang, Xinzhu Ma, Encheng Su et al.

Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression

Jiarui Jiang, Wei Huang, Miao Zhang et al.

EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering

Baili Xiao, Zhibin Dong, KE LIANG 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.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation

Shuchen Weng, Haojie Zheng, Peixuan Zhang et al.

OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states

Yuki Minai, Joana Soldado-Magraner, Byron M Yu et al.

Video Language Model Pretraining with Spatio-temporal Masking

Yue Wu, Zhaobo Qi, Junshu Sun et al.

Generative Caching for Structurally Similar Prompts and Responses

Sarthak Chakraborty, Suman Nath, Xuchao Zhang et al.

LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment

Juelin Zhu, Shuaibang Peng, Long Wang et al.

Zero-Shot Vision Encoder Grafting via LLM Surrogates

Kaiyu Yue, Vasu Singla, Menglin Jia et al.

Learning Interestingness in Automated Mathematical Theory Formation

George Tsoukalas, Rahul Saha, Amitayush Thakur et al.

Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization

Shaohan Li, Yunpeng Shi, Gilad Lerman

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning

Chengyu Zheng, Honghua Chen, Jin Huang et al.

LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation

WEI-JER Chang, Masayoshi Tomizuka, Wei Zhan et al.

LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models

Xuan Cai, Renjie Pan, Hua Yang

DPA: A one-stop metric to measure bias amplification in classification datasets

Bhanu Tokas, Rahul Nair, Hannah Kerner

How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings

Samuel Audia, Soheil Feizi, Matthias Zwicker et al.

Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation

Yue Zhang, Mingyue Bin, Yuyang Zhang et al.

Distance-informed Neural Processes

Aishwarya Venkataramanan, Joachim Denzler

SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation

Zhenyuan Qin, Xincheng Shuai, Henghui Ding

Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models

Thanh-Dat Truong, Huu-Thien Tran, Tran Son et al.

F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics

Pramit Saha, Felix Wagner, Divyanshu Mishra et al.

The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique Like Photographers

Daiqing Qi, Handong Zhao, Jing Shi 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.

FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video

Andrea Boscolo Camiletto, Jian Wang, Eduardo Alvarado et al.

Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data

Hang Phung, Manh Nguyen, Thanh Huynh et al.

Concept Lancet: Image Editing with Compositional Representation Transplant

Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan et al.

Perceptual Inductive Bias Is What You Need Before Contrastive Learning

Junru Zhao, Tianqin Li, Dunhan Jiang et al.

ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training

Leonard Bruns, Axel Barroso-Laguna, Tommaso Cavallari et al.

FPEM: Face Prior Enhanced Facial Attractiveness Prediction for Live Videos with Face Retouching

Hui Li, Xiaoyu Ren, Hongjiu Yu et al.

PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction

Jiahui Ren, Mochu Xiang, Jiajun Zhu et al.

MotionDiff: Training-free Zero-shot Interactive Motion Editing via Flow-assisted Multi-view Diffusion

Yikun Ma, Yiqing Li, Jiawei Wu et al.

Learning Gain Map for Inverse Tone Mapping

yinuo liao, Yuanshen Guan, Ruikang Xu et al.

Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies

Ziye Wang, Li Kang, Yiran Qin et al.

CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models

Benjamin Herdeanu, Juan Nathaniel, Carla Roesch et al.

A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations

Theo Bodrito, Olivier Flasseur, Julien Mairal et al.

Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics

Yair Smadar, Assaf Hoogi

A Causal Lens for Learning Long-term Fair Policies

Jacob Lear, Lu Zhang

Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation

Zixin Wang, Dong Gong, Sen Wang et al.

SGD with memory: fundamental properties and stochastic acceleration

Dmitry Yarotsky, Maksim Velikanov

Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing

Joowon Kim, Ziseok Lee, Donghyeon Cho et al.

MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification

Junjie Zhou, WEI SHAO, Yagao Yue et al.

Risk Management for Mitigating Benchmark Failure Modes: BenchRisk

Sean McGregor, Vassil Tashev, Armstrong Foundjem et al.

Individual Regret in Cooperative Stochastic Multi-Armed Bandits

Idan Barnea, Tal Lancewicki, Yishay Mansour

AirRoom: Objects Matter in Room Reidentification

Runmao Yao, Yi Du, Zhuoqun Chen et al.

Prompt Tuning Decision Transformers with Structured and Scalable Bandits

Finn Rietz, Oleg Smirnov, Sara Karimi et al.

AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs

Di He, Songjun Tu, Ajay Jaiswal et al.

Learning-Augmented Frequent Directions

Anders Aamand, Justin Chen, Siddharth Gollapudi et al.

Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images

In-Hwan Jin, Haesoo Choo, Seong-Hun Jeong et al.

What Really is a Member? Discrediting Membership Inference via Poisoning

Neal Mangaokar, Ashish Hooda, Zhuohang Li et al.

Enhancing Numerical Prediction of MLLMs with Soft Labeling

Pei Wang, Zhaowei Cai, Hao Yang et al.

Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data

Andrew Li, Toryn Klassen, Andrew Wang et al.

SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility

Guobin Shen, Jindong Li, Tenglong Li et al.

Event-Driven Storytelling with Multiple Lifelike Humans in a 3D Scene

Donggeun Lim, Jinseok Bae, Inwoo Hwang et al.

Unlocking Generalization Power in LiDAR Point Cloud Registration

Zhenxuan Zeng, Qiao Wu, Xiyu Zhang et al.

Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment

Shi-Chen Zhang, Yunheng Li, Yu-Huan Wu et al.

CARL: A Framework for Equivariant Image Registration

Hastings Greer, Lin Tian, François-Xavier Vialard et al.

Effects of Dropout on Performance in Long-range Graph Learning Tasks

Jasraj Singh, Keyue Jiang, Brooks Paige et al.

Adversarial Exploitation of Data Diversity Improves Visual Localization

Sihang Li, Siqi Tan, Bowen Chang et al.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram

Mingxi Lei, Chunwei Ma, Meng Ding et al.

Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning

Hongye Cao, Fan Feng, Meng Fang et al.

SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation

Hritam Basak, Zhaozheng Yin

GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks

Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng et al.

Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions

Wenxuan Bao, Ruxi Deng, Jingrui He

HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation

Mehdi Zayene, Albias Havolli, Jannik Endres et al.

Context Guided Transformer Entropy Modeling for Video Compression

Junlong Tong, Wei Zhang, Yaohui Jin et al.

AnimalClue: Recognizing Animals by their Traces

Risa Shinoda, Nakamasa Inoue, Iro Laina et al.

Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints

Abhishek Sinha, Rahul Vaze

Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling

Nannan Li, Kevin Shih, Bryan A. Plummer

Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges

Tao Zhong, Jonah Buchanan, Christine Allen-Blanchette

FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers

Junjie Zhang, Haisheng Su, Feixiang Song et al.

AlignDiff: Learning Physically-Grounded Camera Alignment via Diffusion

Liuyue Xie, Jiancong Guo, Ozan Cakmakci et al.

UIP2P: Unsupervised Instruction-based Image Editing via Edit Reversibility Constraint

Enis Simsar, Alessio Tonioni, Yongqin Xian et al.

Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space

Zitao Chen, Yinjun Jia, Zitong Tian et al.

ConViS-Bench: Estimating Video Similarity Through Semantic Concepts

Benedetta Liberatori, Alessandro Conti, Lorenzo Vaquero et al.

CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering

Zhengqing Wang, Yuefan Wu, Jiacheng Chen et al.

UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception

Karthikeyan Chandra Sekaran, Markus Geisler, Dominik Rößle et al.

Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images

Jinsol Song, Jiamu Wang, Anh Nguyen et al.

TrackAny3D: Transferring Pretrained 3D Models for Category-unified 3D Point Cloud Tracking

Mengmeng Wang, Haonan Wang, Yulong Li et al.

The Flood Complex: Large-Scale Persistent Homology on Millions of Points

Florian Graf, Paolo Pellizzoni, Martin Uray et al.

Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models

Li Sun, Zhenhao Huang, Ming Zhang et al.

Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian Splatting

Yian Zhao, rushi ye, Ruochong Zheng et al.

Dynamic Assortment Selection and Pricing with Censored Preference Feedback

Jung-hun Kim, Min-hwan Oh

Efficient Personalization of Quantized Diffusion Model without Backpropagation

Hoigi Seo, Wongi Jeong, Kyungryeol Lee et al.

Outlier-Aware Post-Training Quantization for Image Super-Resolution

Hailing Wang, Jianglin Lu, Yitian Zhang et al.

Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction

Dat Cong, Hieu Tran, Hoang Thanh-Tung

Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes

Zhangjun Zhou, Yiping Li, Chunlin Zhong et al.

An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval

Jaeseok Byun, Seokhyeon Jeong, Wonjae Kim et al.

Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables

Yaochen Zhu, Jing Ma, Liang Wu et al.

Fast and Accurate Blind Flexible Docking

Zizhuo Zhang, Lijun Wu, Kaiyuan Gao et al.

Seeing A 3D World in A Grain of Sand

Yufan Zhang, Yu Ji, Yu Guo et al.

Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings

Bo Li, Wei Wang, Peng Ye

Multiresolution Analysis and Statistical Thresholding on Dynamic Networks

Raphael Romero, Tijl De Bie, Nick Heard et al.

Steering When Necessary: Flexible Steering Large Language Models with Backtracking

Zifeng Cheng, Jinwei Gan, Zhiwei Jiang et al.