Most Cited 2025 "hierarchical frequency components" Papers

From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks

Awa Khouna, Julien Ferry, Thibaut Vidal

OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning

Alexandre Oliveira, Katarina Dyreby, Francisco Caldas et al.

Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering

Kuicai Dong, CHANG YUJING, Shijie Huang et al.

Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation

Jinyang Li, Jack Williams, Nick McKenna et al.

CraftsMan3D: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner

Weiyu Li, Jiarui Liu, Hongyu Yan et al.

CoLLM: A Large Language Model for Composed Image Retrieval

Chuong Huynh, Jinyu Yang, Ashish Tawari et al.

Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models

Xiaoyu Zhan, Wenxuan Huang, Hao Sun et al.

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective

Ning Zhang, Henry Kenlay, Li Zhang et al.

Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning

Gunshi Gupta, Karmesh Yadav, Zsolt Kira et al.

Disentangling Hyperedges through the Lens of Category Theory

Yoonho Lee, Junseok Lee, Sangwoo Seo et al.

Reward-oriented Causal Representation Learning

Zirui Yan, Emre Acartürk, Ali Tajer

Distribution Learning Meets Graph Structure Sampling

Arnab Bhattacharyya, Sutanu Gayen, Philips George John et al.

SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation

He Yang, Dongyi Lv, Song Ma et al.

MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees

Herbert Woisetschläger, Ryan Zhang, Shiqiang Wang et al.

SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection

Haochen Li, Rui Zhang, Hantao Yao et al.

Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond

Feng Zhu, David Simchi-Levi

Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization

Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh et al.

Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach

woohyeon Byeon, Giseung Park, Jongseong Chae et al.

WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models

Fu Feng, Yucheng Xie, Jing Wang et al.

Looking Into the Water by Unsupervised Learning of the Surface Shape

Ori Lifschitz, Tali Treibitz, Dan Rosenbaum

GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining

Chunyu Wei, Wenji Hu, Xingjia Hao et al.

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge

Wenyao Zhang, Hongsi Liu, Zekun Qi et al.

Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization

Chris Kolb, Laetitia Frost, Bernd Bischl et al.

ChainHOI: Joint-based Kinematic Chain Modeling for Human-Object Interaction Generation

Ling-An Zeng, Guohong Huang, Yi-Lin Wei et al.

Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks

Yu Zhou, Dian Zheng, Qijie Mo et al.

Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models

Qingsong Wang, Zhengchao Wan, Misha Belkin et al.

Private Set Union with Multiple Contributions

Travis Dick, Haim Kaplan, Alex Kulesza et al.

Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective

Wei Feng, Zongyuan Ge

ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects

Woojin Lee, Hyugjae Chang, Jaeho Moon et al.

Learning Interactive World Model for Object-Centric Reinforcement Learning

Fan Feng, Phillip Lippe, Sara Magliacane

CORAL: Disentangling Latent Representations in Long-Tailed Diffusion

Esther Rodriguez, Monica Welfert, Samuel McDowell et al.

Online Time Series Forecasting with Theoretical Guarantees

Zijian Li, Changze Zhou, Minghao Fu et al.

Two Causally Related Needles in a Video Haystack

Miaoyu Li, Qin Chao, Boyang Li

Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging

Xianrui Li, Yufei Cui, Jun Li et al.

Segment Anything, Even Occluded

Wei-En Tai, Yu-Lin Shih, Cheng Sun et al.

BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes

Lishen Qu, Zhihao Liu, Shihao Zhou et al.

CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention

Xiaomeng Hu, Fei Huang, Chenhan Yuan et al.

Chain of Execution Supervision Promotes General Reasoning in Large Language Models

Nuo Chen, Zehua Li, Keqin Bao et al.

ReWind: Understanding Long Videos with Instructed Learnable Memory

Anxhelo Diko, Tinghuai Wang, Wassim Swaileh et al.

Planning with Quantized Opponent Models

XiaoPeng Yu, Kefan Su, Zongqing Lu

Cross-View Completion Models are Zero-shot Correspondence Estimators

Honggyu An, Jin Hyeon Kim, Seonghoon Park et al.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective

Behrad Moniri, Hamed Hassani

EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video Generation

Diljeet Jagpal, Xi Chen, Vinay P. Namboodiri

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Frank (Fangzheng) Xu, Yufan Song, Boxuan Li et al.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation

Bowen Song, Zecheng Zhang, Zhaoxu Luo et al.

Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference

Álvaro Parafita, Tomas Garriga, Axel Brando et al.

Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data

Ishika Agarwal, Dilek Hakkani-Tur

STree: Speculative Tree Decoding for Hybrid State Space Models

Yangchao Wu, Zongyue Qin, Alex Wong et al.

Near-Exponential Savings for Population Mean Estimation with Active Learning

Julian Morimoto, JACOB GOLDIN, Daniel Ho

Scaling up Image Segmentation across Data and Tasks

Pei Wang, Zhaowei Cai, Hao Yang et al.

Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition

Yifei Zhang, Chang Liu, Jin Wei et al.

Heterogeneous Diffusion Structure Inference for Network Cascade

Siyu Huang, Abdul Basit Adeel, Yubai Yuan

MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation

Weisen Jiang, Sinno Pan

TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features

Dana Cohen-Bar, Daniel Cohen-Or, Gal Chechik et al.

How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning

Max Weltevrede, Moritz Zanger, Matthijs Spaan et al.

A Closed-Form Solution for Fast and Reliable Adaptive Testing

Yan Zhuang, Chenye Ke, Zirui Liu et al.

PID-controlled Langevin Dynamics for Faster Sampling on Generative Models

Hongyi Chen, Jianhai Shu, Jingtao Ding et al.

Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion

Lei Cao, Hao Zhang, Chunyu Li et al.

Decomposing motor units through elimination for real-time intention driven assistive neurotechnology

Nicholas Tacca, Bryan Schlink, Jackson Levine et al.

FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration

Luxi Chen, Zihan Zhou, Min Zhao et al.

Parameterized Synthetic Text Generation with SimpleStories

Lennart Finke, Chandan Sreedhara, Thomas Dooms et al.

Sharp Matrix Empirical Bernstein Inequalities

Hongjian Wang, Aaditya Ramdas

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size

Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto et al.

Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild

Damien Teney, Liangze Jiang, Florin Gogianu et al.

Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks

Matthew Dutson, Nathan Labiosa, Yin Li et al.

Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery

Sara Al-Emadi, Yin Yang, Ferda Ofli

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Zinan Lin, Enshu Liu, Xuefei Ning et al.

STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model

Yuang Qi, Na Zhao, Qiyi Yao et al.

Differentiable Cyclic Causal Discovery Under Unmeasured Confounders

Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri

SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation

Yueyang Hu, Haiyong Jiang, Haoxuan Song et al.

Temporal-Difference Variational Continual Learning

Luckeciano Carvalho Melo, Alessandro Abate, Yarin Gal

Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty

Chenxi Ji, Yangge Li, Xiangru Zhong et al.

ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration

Johan Edstedt, André Mateus, Alberto Jaenal

PersonaBooth: Personalized Text-to-Motion Generation

Boeun Kim, Hea In Jeong, JungHoon Sung et al.

The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets

Yatin Dandi, Luca Pesce, Lenka Zdeborová et al.

NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models

Jarren Zhuoran Qiao, Feizhi Ding, Thomas Dresselhaus et al.

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL

Kale-ab Tessera, Muhammad Arrasy Rahman, Amos Storkey et al.

GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation

LINHAO LUO, Zicheng Zhao, Reza Haffari et al.

Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning

Tien Manh Luong, Khai Nguyen, Dinh Phung et al.

VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models

Dahun Kim, AJ Piergiovanni, Ganesh Satish Mallya et al.

UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows

Rohit Kanchi, Benjamin Melanson, Nithin Somasekharan et al.

ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality

Mingzhi Zhu, Ding Shang, Sai Qian Zhang

PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling

Guilin Li, Yun Zhang, Xiuyuan Chen et al.

Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving

Yuchen Zhang, Hanyue Du, Chun Cao et al.

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models

Keda Tao, Can Qin, Haoxuan You et al.

DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching

Emanuele Aiello, Umberto Michieli, Diego Valsesia et al.

Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model

Yingmao Miao, Zhanpeng Huang, Rui Han et al.

A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks

Mucong Ding, Bang An, Tahseen Rabbani et al.

Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method

Han Xu, Yuyang Li, Yunfei Deng et al.

Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute Loss

Ravishankar Evani, Deepu Rajan, Shangbo Mao

Retro-R1: LLM-based Agentic Retrosynthesis

Wei Liu, Jiangtao Feng, Hongli Yu et al.

Random Search Neural Networks for Efficient and Expressive Graph Learning

Michael Ito, Danai Koutra, Jenna Wiens

DISC: Dynamic Decomposition Improves LLM Inference Scaling

Jonathan Li, Wei Cheng, Benjamin Riviere et al.

Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning

Zhe Hu, Jing Li, Zhongzhu Pu et al.

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation

Jingnan Shi, Rajat Talak, Harry Zhang et al.

EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale

Yiheng Du, Aditi Krishnapriyan

Generalizable Object Keypoint Localization from Generative Priors

Dongkai Wang, Jiang Duan, Liangjian Wen et al.

Glossy Object Reconstruction with Cost-effective Polarized Acquisition

Bojian Wu, YIFAN PENG, Ruizhen Hu et al.

MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling

Yuxi Liu, Renjia Deng, Yutong He et al.

Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning

Lifan Zhao, Yanyan Shen, Zhaoyang Liu et al.

Towards Universal Dataset Distillation via Task-Driven Diffusion

Ding Qi, Jian Li, Junyao Gao et al.

Test-Time Scaling of Diffusion Models via Noise Trajectory Search

Vignav Ramesh, Morteza Mardani

Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs

Qi Kuang, Jiayi Wang, Fan Zhou et al.

DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer

Wentao Xu, Huiqiao Fu, Haoyu Dong et al.

Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs

Jingyao Wang, Wenwen Qiang, Zeen Song et al.

Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment

Chu Xu, Zhixin Zhang, Tianyu Jia et al.

Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather

Longyu Yang, Ping Hu, Shangbo Yuan et al.

PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram

Sifan Zhou, Zhihang Yuan, Dawei Yang et al.

WaLRUS: Wavelets for Long range Representation Using State Space Methods

Hossein Babaei, Mel White, Sina Alemohammad et al.

ComPO: Preference Alignment via Comparison Oracles

Peter Chen, Xi Chen, Wotao Yin et al.

Differentiable Constraint-Based Causal Discovery

Jincheng Zhou, Mengbo Wang, Anqi He et al.

State Size Independent Statistical Error Bound for Discrete Diffusion Models

Shintaro Wakasugi, Taiji Suzuki

STAR: A Benchmark for Astronomical Star Fields Super-Resolution

WU KUO-CHENG, Guohang Zhuang, Jinyang Huang et al.

VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture

Maonan Wang, Yirong Chen, Aoyu Pang et al.

Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins

ZAIXI ZHANG, Ruofan Jin, Le Cong et al.

Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers

Jung-Ho Hong, Ho-Joong Kim, Kyu-Sung Jeon et al.

One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding

Zheyu Zhang, Ziqi Pang, Shixing Chen et al.

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning

Yaxin Hou, Bo Han, Yuheng Jia et al.

Yo’Chameleon: Personalized Vision and Language Generation

Thao Nguyen, Krishna Kumar Singh, Jing Shi et al.

Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm

Konstantin Makarychev, Ilias Papanikolaou, Liren Shan

MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing

Cong Wang, Di Kang, Heyi Sun et al.

ORIDa: Object-centric Real-world Image Composition Dataset

Jinwoo Kim, Sangmin Han, Jinho Jeong et al.

StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations

Yanjie Li, Wenxuan Zhang, Xinqi Lyu et al.

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Yu Shang, Peijie Liu, Yuwei Yan et al.

Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning

Xusheng Cao, Haori Lu, Linlan Huang et al.

Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs

Xingang Guo, Yaxin Li, XiangYi Kong et al.

LILO: Learning to Reason at the Frontier of Learnability

Thomas Foster, Anya Sims, Johannes Forkel et al.

T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation

Kaiyue Sun, Kaiyi Huang, Xian Liu et al.

Dragin3D: Image Editing by Dragging in 3D Space

Weiran Guang, Xiaoguang Gu, Mengqi Huang et al.

CoMatcher: Multi-View Collaborative Feature Matching

Jintao Zhang, Zimin Xia, Mingyue Dong et al.

Lyapunov-Stable Adaptive Control for Multimodal Concept Drift

Tianyu Pan, Mengdi Zhu, Alexa Cole et al.

Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy

Xinlong Li, Di Lin, Shaoyiyi Gao et al.

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs

Xiyao Wang, Zhengyuan Yang, Chao Feng et al.

Efficient Rectified Flow for Image Fusion

Zirui Wang, Jiayi Zhang, Tianwei Guan et al.

DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation

Wang Zhao, Yan-Pei Cao, Jiale Xu et al.

Uncertainty-Guided Exploration for Efficient AlphaZero Training

Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong et al.

Real-World Reinforcement Learning of Active Perception Behaviors

Edward Hu, Jie Wang, Xingfang Yuan et al.

Beyond Benign Overfitting in Nadaraya-Watson Interpolators

Daniel Barzilai, Guy Kornowski, Ohad Shamir

Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation

Ying Jin, Jinlong Peng, Qingdong He et al.

On the Role of Hidden States of Modern Hopfield Network in Transformer

VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification

Xianwei Zhuang, Zhihong Zhu, Yuxin Xie et al.

Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content

Qiuheng Wang, Yukai Shi, Jiarong Ou et al.

Monotone and Separable Set Functions: Characterizations and Neural Models

Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym et al.

AvatarArtist: Open-Domain 4D Avatarization

Hongyu Liu, Xuan Wang, Ziyu Wan et al.

TopER: Topological Embeddings in Graph Representation Learning

Astrit Tola, Funmilola Mary Taiwo, Cuneyt Akcora et al.

Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting

Ruyi An, haicheng huang, Huangjie Zheng et al.

Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers

Zhuomeng Zhang, Fangqi Li, Hanyi Wang et al.

Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction

Dongxu Wei, Zhiqi Li, Peidong Liu

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces

Xueliang Zhao, Wei Wu, Jian Guan et al.

Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap

Shixiang Liu

Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations

David Burt, Renato Berlinghieri, Stephen Bates et al.

Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents

Qianlan Yang, XJ Wang, Danielle Perszyk et al.

Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content

Haoyue Bai, Yiyou Sun, Wei Cheng et al.

Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization

Yanhao Jia, Ji Xie, S Jivaganesh et al.

TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusion

Yiran Wang, Jiaqi Li, Chaoyi Hong et al.

Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

Yu Yao, Yiliao (Lia) Song, Yian Xie et al.

Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes

WEI-KAI CHANG, Rajiv Khanna

CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs

Gunho Park, Jeongin Bae, Byeongwook Kim et al.

Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models

Jiajun Fan, Tong Wei, Chaoran Cheng et al.

No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition

Rong Qin, Xin Liu, Xingyu Liu et al.

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction

Tim van Erven, Jack Mayo, Julia Olkhovskaya et al.

Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning

Wenyi Xiao, Leilei Gan

MEGA: Masked Generative Autoencoder for Human Mesh Recovery

Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda et al.

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models

Bikang Pan, Qun Li, Xiaoying Tang et al.

Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling

Zhaoyu Zhang, Yang Hua, Guanxiong Sun et al.

VideoDirector: Precise Video Editing via Text-to-Video Models

Yukun Wang, Longguang Wang, Zhiyuan Ma et al.

Learning to Filter Outlier Edges in Global SfM

Nicole Damblon, Marc Pollefeys, Daniel Barath

Structure-Aware Spectral Sparsification via Uniform Edge Sampling

Kaiwen He, Petros Drineas, Rajiv Khanna

Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios

David A. R. Robin, Killian Bakong, Kevin Scaman

Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval

Haifan Gong, Xuanye Zhang, Ruifei Zhang et al.

Learning Temporally Consistent Video Depth from Video Diffusion Priors

Jiahao Shao, Yuanbo Yang, Hongyu Zhou et al.

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models

Haoyu Wang, Peihao Wang, Mufei Li et al.

Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks

Andrea Montanari, Pierfrancesco Urbani

MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis

Yinghao Wu, Shihui Guo, Yipeng Qin

SLADE: Shielding against Dual Exploits in Large Vision-Language Models

Md Zarif Hossain, AHMED IMTEAJ

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement

Yinlin Zhu, Xunkai Li, Jishuo Jia et al.

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL

Tong Yang, Bo Dai, Lin Xiao et al.

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL

Songjun Tu, Jiahao Lin, Qichao Zhang et al.

DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels

Erjian Guo, Zhen Zhao, Zicheng Wang et al.

Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion

Xiaojian Ding, Lin Zhao, Xian Li et al.

Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting

Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi et al.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch

Aneeshan Sain, Subhajit Maity, Pinaki Nath Chowdhury et al.

Learning to Generate Human-Human-Object Interactions from Textual Descriptions

Jeonghyeon Na, Sangwon Baik, Inhee Lee et al.

4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos

Mengqi Guo, Bo Xu, Yanyan Li et al.

A Unified Framework for Heterogeneous Semi-supervised Learning

Marzi Heidari, Abdullah Alchihabi, Hao Yan et al.

BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories

Wonjung Park, Suhyun Ahn, Maria Hernandez et al.

Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling

Yufan Li, Pragya Sur

SuperCLIP: CLIP with Simple Classification Supervision

Weiheng Zhao, Zilong Huang, Jiashi Feng et al.

Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability

Jiani Liu, Zhiyuan Wang, Zeliang Zhang et al.

V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy

Jiayin Zhao, Zhenqi Fu, Tao Yu et al.

EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights

Zhenghao Xing, Hao Chen, Binzhu Xie et al.

Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network

Haifeng Zhang, Qinghui He, Xiuli Bi et al.

Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization

Bo Ling, Zhengyu Gan, Wanyuan Wang et al.

On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models

Hoigi Seo, Dong Un Kang, Hyunjin Cho et al.

Robust Contextual Pricing

Anupam Gupta, Guru Guruganesh, Renato Leme et al.

SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks

Shining Wang, Yunlong Wang, Ruiqi Wu et al.

Spectral Informed Mamba for Robust Point Cloud Processing

Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori et al.

Dyn-O: Building Structured World Models with Object-Centric Representations

Zizhao Wang, Kaixin Wang, Li Zhao et al.

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion

Yang Wu, Yun Zhu, Kaihua Zhang et al.

Hiding Images in Diffusion Models by Editing Learned Score Functions

Haoyu Chen, Yunqiao Yang, Nan Zhong et al.