Most Cited 2025 "multimodal" Papers
22,274 papers found • Page 85 of 112
Conference
CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
Yifei Zhang, Hao Zhu, Junhao Dong et al.
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
Xin Gao, Jiyao Liu, Guanghao Li et al.
Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection
Jinghao Bian, Mingtao Feng, Weisheng Dong et al.
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
Chen Chen, Majid Abdolshah, Violetta Shevchenko et al.
Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
Jiawei Huang, Minming Li, Hu Ding
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
Jiaqi Wang, Zhiguang Cao, Peng Zhao et al.
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
Robust Regression of General ReLUs with Queries
Ilias Diakonikolas, Daniel Kane, Mingchen Ma
PRaDA: Projective Radial Distortion Averaging
Daniil Sinitsyn, Linus Härenstam-Nielsen, Daniel Cremers
Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
Woo Kyoung Han, Byeonghun Lee, Hyunmin Cho et al.
PossLoss: A Reliable and Sensitive Facial Landmark Detection Loss Function
Qikui Zhu
Event-boosted Deformable 3D Gaussians for Dynamic Scene Reconstruction
Wenhao Xu, Wenming Weng, Yueyi Zhang et al.
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
Yanwei Ren, Haotian Zhang, Fuxiang Wu et al.
AccidentalGS: 3D Gaussian Splatting from Accidental Camera Motion
Mao Mao, Xujie Shen, Guyuan Chen et al.
Social World Model-Augmented Mechanism Design Policy Learning
Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma et al.
Regional Explanations: Bridging Local and Global Variable Importance
Salim I. Amoukou, Nicolas Brunel
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation
Chenyang Le, Bing Han, Jinshun Li et al.
DUO: No Compromise to Accuracy Degradation
Jinda Jia, Cong Xie, Hanlin Lu et al.
Understanding Bias Terms in Neural Representations
Weixiang Zhang, Boxi Li, Shuzhao Xie et al.
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
James Cheshire, Yann Issartel
Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
Jingmin Zhu, Anqi Zhu, Hossein Rahmani et al.
X-Prompt: Generalizable Auto-Regressive Visual Learning with In-Context Prompting
Zeyi Sun, Ziyang Chu, Pan Zhang et al.
Structure from Collision
Takuhiro Kaneko
Unlocking the Potential of Diffusion Priors in Blind Face Restoration
Yunqi Miao, Zhiyu Qu, Mingqi Gao et al.
Liberated-GS: 3D Gaussian Splatting Independent from SfM Point Clouds
Weihong Pan, Xiaoyu Zhang, Hongjia Zhai et al.
Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection
Yuxi Liu, Min Liu, Shuai Jiang et al.
DIFFSSR: Stereo Image Super-resolution Using Differential Transformer
Dafeng Zhang
UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling
Peiming Li, Ziyi Wang, Yulin Yuan et al.
Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
Kai Hu, Zhang Yu, Yuan Zhang et al.
VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers
Qinkai XU, yijin liu, YangChen et al.
U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration
Xiaofan Li, Zhihao Xu, Chenming Wu et al.
Robust Dataset Condensation using Supervised Contrastive Learning
Nicole Kim, Hwanjun Song
CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
Yuena Lin, Hao Wei, Hai-Chun Cai et al.
Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
Xiangyu Wen, Min Li, Junhua Huang et al.
Computation and Memory-Efficient Model Compression with Gradient Reweighting
Zhiwei Li, Yuesen Liao, Binrui Wu et al.
CounterPC: Counterfactual Feature Realignment for Unsupervised Domain Adaptation on Point Clouds
Feng Yang, Yichao Cao, Xiu Su et al.
Group Inertial Poser: Multi-Person Pose and Global Translation from Sparse Inertial Sensors and Ultra-Wideband Ranging
Ying Xue, Jiaxi Jiang, Rayan Armani et al.
Backdooring Self-Supervised Contrastive Learning by Noisy Alignment
Tuo Chen, Jie Gui, Minjing Dong et al.
Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning
Fei Ye, Yulong Zhao, Qihe Liu et al.
Sparse Optimistic Information Directed Sampling
Ludovic Schwartz, Hamish Flynn, Gergely Neu
PlanU: Large Language Model Reasoning through Planning under Uncertainty
Ziwei Deng, Mian Deng, Chenjing Liang et al.
Automated Model Discovery via Multi-modal & Multi-step Pipeline
Lee Jung-Mok, Nam Hyeon-Woo, Moon Ye-Bin et al.
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng, Jiayuan Zhang, Yuhang Wu et al.
Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework
Chenghu Du, Shengwu Xiong, junyin Wang et al.
Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers
Thomas Klein, Sascha Meyen, Wieland Brendel et al.
Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve
Jingxuan Wang, Zhongke Wu, Wang et al.
Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
Vasiliki Tassopoulou, Charis Stamouli, Haochang Shou et al.
From Complexity to Clarity: Analytical Expressions of Deep Neural Network Weights via Clifford Algebra and Convexity
Mert Pilanci
Accelerating Model-Free Optimization via Averaging of Cost Samples
Guido Carnevale, Giuseppe Notarstefano
LaViDa: A Large Diffusion Model for Vision-Language Understanding
Shufan Li, Konstantinos Kallidromitis, Hritik Bansal et al.
DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
Komal Kumar, Rao Anwer, Fahad Shahbaz Khan et al.
Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics
Sungwoo Park
Metritocracy: Representative Metrics for Lite Benchmarks
Ariel Procaccia, Ben Schiffer, Serena Wang et al.
Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
Zhangqi Jiang, Tingjin Luo, Xu Yang et al.
ComRank: Ranking Loss for Multi-Label Complementary Label Learning
Jing-Yi Zhu, Yi Gao, Miao Xu et al.
DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation
Jiahui Wang, Changhao Chen
$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
Lin Zhu, Yifeng Yang, Xinbing Wang et al.
FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation
Fan Yang, Yousong Zhu, Xin Li et al.
Language-Guided Salient Object Ranking
Fang Liu, Yuhao Liu, Ke Xu et al.
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields
Xixian Liu, Rui Jiao, ZHIYUAN LIU et al.
DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks
Wentao Wu, Shiyuan He, Jianhua Guo
Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
Zhibin Gu, weili wang
Instruction-based Image Editing with Planning, Reasoning, and Generation
Liya Ji, Chenyang Qi, Qifeng Chen
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel et al.
On the Sample Complexity of Differentially Private Policy Optimization
Yi He, Xingyu Zhou
Ascent Fails to Forget
Ioannis Mavrothalassitis, Pol Puigdemont, Noam Levi et al.
Tensor-aggregated LoRA in Federated Fine-tuning
Zhixuan Li, Binqian Xu, Xiangbo Shu et al.
Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
Junxi Chen, Liang Li, Yunbin Tu et al.
PointGAC: Geometric-Aware Codebook for Masked Point Modeling
Abiao Li, Chenlei Lv, Guofeng Mei et al.
NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses
Jing Wen, Alex Schwing, Shenlong Wang
Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
Xiaohui Wang, Peng Ye, Chenyu Huang et al.
AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents
Yichen Wang, Hangtao Zhang, Hewen Pan et al.
GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion
Jiayi Tian, Haiduo Huang, Tian Xia et al.
Elastic Robust Unlearning of Specific Knowledge in Large Language Models
Yize Sui, Jing Ren, Wenjing Yang et al.
From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
RUOFAN LIU, YICHEN PENG, Takanori Oku et al.
End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs
Xuelin Shen, Haifeng Jiao, Yitong Wang et al.
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
Taejong Joo, Diego Klabjan
ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On
Yuhan Li, Zhiyu Jin, Yifan Tong et al.
RayPose: Ray Bundling Diffusion for Template Views in Unseen 6D Object Pose Estimation
Junwen Huang, Shishir Reddy Vutukur, Peter Yu et al.
A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models
Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany et al.
Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization
Jiaqi Wei, Hao Zhou, Xiang Zhang et al.
Relieving the Over-Aggregating Effect in Graph Transformers
Junshu Sun, Wanxing Chang, Chenxue Yang et al.
Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images
Nan Zhong, Haoyu Chen, Yiran Xu et al.
Bias Mitigation in Graph Diffusion Models
Meng Yu, Kun Zhan
Statistical Inference for Decentralized Federated Learning
Jia Gu, Songxi Chen
Statistical Confidence Rescoring for Robust 3D Scene Graph Generation from Multi-View Images
Qi Xun Yeo, Yanyan Li, Gim Hee Lee
Neural Multi-View Self-Calibrated Photometric Stereo without Photometric Stereo Cues
Xu Cao, Takafumi Taketomi
GMV: A Unified and Efficient Graph Multi-View Learning Framework
Qipeng zhu, Jie Chen, Jian Pu et al.
Versatile differentially private learning for general loss functions
Qilong Lu, Songxi Chen, Yumou Qiu
Constrained Linear Thompson Sampling
Aditya Gangrade, Venkatesh Saligrama
S2D-LFE: Sparse-to-Dense Light Field Event Generation
Yutong Liu, Wenming Weng, Yueyi Zhang et al.
Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection
Wenxi Chen, Raymond A. Yeh, Shaoshuai Mou et al.
On the Stability and Generalization of Meta-Learning: the Impact of Inner-Levels
Wenjun Ding, Jingling Liu, Lixing Chen et al.
Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
Zhoutong Wu, Yuan Zhang, Yiming Dong et al.
ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination
Xiaoyi Pang, Xuanyi Hao, Song Guo et al.
Leveraging Debiased Cross-modal Attention Maps and Code-based Reasoning for Zero-shot Referring Expression Comprehension
Juntao Chen, Wen Shen, Zhihua Wei et al.
Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables
Wontae Kim, Keuntek Lee, Nam Ik Cho
NeurIPS should lead scientific consensus on AI policy
Rishi Bommasani
World Models Should Prioritize the Unification of Physical and Social Dynamics
Xiaoyuan Zhang, Chengdong Ma, Yizhe Huang et al.
Sample-Conditional Coverage in Split-Conformal Prediction
John Duchi
Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction
Mang Cao, Sanping Zhou, Yizhe Li et al.
Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoE
Zhaokun Wang, Jinyu Guo, Jingwen Pu et al.
MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting
jun huang, Ting Liu, Yihang Wu et al.
Setting $\varepsilon$ is not the Issue in Differential Privacy
Edwige Cyffers
Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
Ruitao Wu, Yifan Zhao, Guangyao Chen et al.
S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
Jiaqi Wang, Zhengyu Ma, Xiongri Shen et al.
HDR Image Generation via Gain Map Decomposed Diffusion
Yuanshen Guan, Ruikang Xu, Yinuo Liao et al.
Prompting as Scientific Inquiry
Ari Holtzman, Chenhao Tan
PolarNeXt: Rethink Instance Segmentation with Polar Representation
Jiacheng Sun, Xinghong Zhou, Yiqiang Wu et al.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
Haiduo Huang, Jiangcheng Song, Yadong Zhang et al.
The Adaptive Complexity of Minimizing Relative Fisher Information
Huanjian Zhou, Masashi Sugiyama
HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation
Xiaolong Xu, Xudong Zhao, Haolong Xiang et al.
Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
Zijie Geng, Jie Wang, Ziqi Liu et al.
ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning
Jongseo Lee, Kyungho Bae, Kyle Min et al.
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior
Young Seok Jeon, Hongfei Yang, Huazhu Fu et al.
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
Jinsoo Bae, Seoung Bum Kim, Hyungrok Do
Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret
Yucong Dai, Shilin Gu, Ruidong Fan et al.
EPA: Boosting Event-based Video Frame Interpolation with Perceptually Aligned Learning
Yuhan Liu, LingHui Fu, Zhen Yang et al.
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
Can Rong, Xin Zhang, Yanxin Xi et al.
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
Félix Lefebvre, Gael Varoquaux
Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement Learning
Tianpai Luo, Xinyuan Fan, Weichi Wu
Causal Discovery and Inference through Next-Token Prediction
Eivinas Butkus, Nikolaus Kriegeskorte
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
Wenyu Mao, Jiancan Wu, Guoqing Hu et al.
Improved Sampling Algorithms for Lévy-Itô Diffusion Models
Vadim Popov, Assel Yermekova, Tasnima Sadekova et al.
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
Natalie Maus, Kyurae Kim, Yimeng Zeng et al.
EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration
Haokai Zhu, Bo Qu, Si-Yuan Cao et al.
Yo’Chameleon: Personalized Vision and Language Generation
Thao Nguyen, Krishna Kumar Singh, Jing Shi et al.
ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence
Yuan Sun, Yongxiang Li, Zhenwen Ren et al.
Dual-S3D: Hierarchical Dual-Path Selective SSM-CNN for High-Fidelity Implicit Reconstruction
Luoxi Zhang, Pragyan Shrestha, Yu Zhou et al.
NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
Xiaohan Qin, Xiaoxing Wang, Ning Liao et al.
FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction
Donghyun Lee, Dawoon Jeong, Jae W. Lee et al.
RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather
Yuran Wang, Yingping Liang, Yutao Hu et al.
Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence
Qiyang Qian, Hansheng Chen, Masayoshi Tomizuka et al.
MMGeo: Multimodal Compositional Geo-Localization for UAVs
Yuxiang Ji, Boyong He, Zhuoyue Tan et al.
FRN: Fractal-Based Recursive Spectral Reconstruction Network
Ge Meng, Zhongnan Cai, Ruizhe Chen et al.
On the SAC-BL Algorithm for Anomaly Detection
Xinsong Ma, Jie Wu, Weiwei Liu
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery
Ziwei Shi, Xiaoran Zhang, Wenjing Xu et al.
Steering Information Utility in Key-Value Memory for Language Model Post-Training
Chunyuan Deng, Ruidi Chang, Hanjie Chen
Resounding Acoustic Fields with Reciprocity
Zitong Lan, Yiduo Hao, Mingmin Zhao
WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image
Jiwoo Park, Tae Choi, Youngjun Jun et al.
ArtEditor: Learning Customized Instructional Image Editor from Few-Shot Examples
Shijie Huang, Yiren Song, Yuxuan Zhang et al.
LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing
Hongquan He, Zhen Wang, Jingya Wang et al.
A3GS: Arbitrary Artistic Style into Arbitrary 3D Gaussian Splatting
Zhiyuan Fang, Rengan Xie, Xuancheng Jin et al.
Asynchronous Collaborative Graph Representation for Frames and Events
Dianze Li, Jianing Li, Xu Liu et al.
Large Scene Generation with Cube-Absorb Discrete Diffusion
Qianjiang Hu, Wei Hu
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
Jongsuk Kim, Jae Young Lee, Gyojin Han et al.
STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
Vaclav Voracek, Francesco Orabona
D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
Kejing Xia, Jidong Jia, Ke Jin et al.
Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
Chenrui Wang, Junyi Shu, Billy Chiu et al.
PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network
Mingyao Zhou, Hao Sun, Wei Xie et al.
Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation
Lin Li, Chuhan ZHANG, Dong Zhang et al.
Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers
Yunshan Zhong, Yuyao Zhou, Yuxin Zhang et al.
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
Zheng Li, Xichen Guo, Feng Xie et al.
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild
Yifan Jiao, Yunhao Li, Junhua Ding et al.
OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS
Han Ling, Yinghui Sun, Xian Xu et al.
Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels
Quanjiang Li, Tingjin Luo, Jiahui Liao
Compress & Cache: Vision token compression for efficient generation and retrieval
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
Gaussian-based World Model: Gaussian Priors for Voxel-Based Occupancy Prediction and Future Motion Prediction
Tuo Feng, Wenguan Wang, Yi Yang
HOMO-Feature: Cross-Arbitrary-Modal Image Matching with Homomorphism of Organized Major Orientation
Chenzhong Gao, Wei Li, Desheng Weng
MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis
Mengxi Xiao, Ben Liu, He Li et al.
CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction
Hao Zheng, Yuting Zheng, Hanbo Huang et al.
High Dynamic Range Imaging with Time-Encoding Spike Camera
Zhenkun Zhu, Ruiqin Xiong, Jiyu Xie et al.
Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
Junhao Dong, Piotr Koniusz, Liaoyuan Feng et al.
OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis
Run Luo, Ting-En Lin, Haonan Zhang et al.
Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks
Yizhou Jiang, Feng Chen, Yihan Li et al.
PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation
Kunyu Wang, Xueyang Fu, Yuanfei Bao et al.
Hierarchical Variational Test-Time Prompt Generation for Zero-Shot Generalization
Zhaoyang Wu, Fang Liu, Licheng Jiao et al.
Lookahead Routing for Large Language Models
Canbin Huang, Tianyuan Shi, Yuhua Zhu et al.
Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
Qijun Luo, Yifei Shen, Liangzu Peng et al.
Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian et al.
Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
Yang Li, Lvda Chen, Haonan Wang et al.
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity
Chen Yi Lu, Kasra Derakhshandeh, Somali Chaterji
Feature-aware Modulation for Learning from Temporal Tabular Data
Haorun Cai, Han-Jia Ye
Hierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal
Zhi Jiang, Jingbo Hu, Ling Zhang et al.
Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch
Aneeshan Sain, Subhajit Maity, Pinaki Nath Chowdhury et al.
HERA: Hybrid Explicit Representation for Ultra-Realistic Head Avatars
Hongrui Cai, Yuting Xiao, Xuan Wang et al.
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning
Yao Luan, Ni Mu, Yiqin Yang et al.
DAA*: Deep Angular A Star for Image-based Path Planning
Zhiwei Xu
Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model
Runheng Liu, Heyan Huang, Xingchen Xiao et al.
MTRec: Learning to Align with User Preferences via Mental Reward Models
Mengchen Zhao, Yifan Gao, Yaqing Hou et al.
Enhancing Contrastive Learning with Variable Similarity
Haowen Cui, Shuo Chen, Jun Li et al.
Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
Xiaolei Wang, Tianhong Dai, Huihui Bai et al.
VPR-Cloak: A First Look at Privacy Cloak Against Visual Place Recognition
Shuting Dong, Mingzhi Chen, Feng Lu et al.
Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
Yuansheng Li, Yunhao Zou, Linwei Chen et al.
Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability
Wenzhao Liu, Haoran Li, Congying Han et al.
RCTDistill: Cross-Modal Knowledge Distillation Framework for Radar-Camera 3D Object Detection with Temporal Fusion
Geonho Bang, Minjae Seong, Jisong Kim et al.
Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond
Kaixiang Chen, Pengfei Fang, hui xue
Price of Parsimony: Complexity of Fourier Sparsity Testing
Arijit Ghosh, Manmatha Roy
CrypticBio: A Large Multimodal Dataset for Visually Confusing Species
Georgiana Manolache, Gerard Schouten, Joaquin Vanschoren
Leveraging Panoptic Scene Graph for Evaluating Fine-Grained Text-to-Image Generation
Xueqing Deng, Linjie Yang, Qihang Yu et al.
Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment
Renye Yan, Jikang Cheng, Yaozhong Gan et al.
SGSST: Scaling Gaussian Splatting Style Transfer
Bruno Galerne, Jianling WANG, Lara Raad et al.
Listening to the Brain: Multi-Band sEEG Auditory Reconstruction via Dynamic Spatio-Temporal Hypergraphs
Xueyi Zhang, Ruicong Wang, Jialu Sun et al.
Unified Medical Lesion Segmentation via Self-referring Indicator
Shijie Chang, Xiaoqi Zhao, Lihe Zhang et al.
Forensic-MoE: Exploring Comprehensive Synthetic Image Detection Traces with Mixture of Experts
Mingqi Fang, Ziguang Li, Lingyun Yu et al.
FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling
Zhenghao Gao, Shengjie Xu, Zijing Li et al.
GSRecon: Efficient Generalizable Gaussian Splatting for Surface Reconstruction from Sparse Views
Hang Yang, Le Hui, Jianjun Qian et al.
Ensemble Foreground Management for Unsupervised Object Discovery
Ziling Wu, Armaghan Moemeni, Praminda Caleb-Solly
Rethinking Evaluation of Infrared Small Target Detection
Youwei Pang, Xiaoqi Zhao, Lihe Zhang et al.
OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata
Oussema Dhaouadi, Riccardo Marin, Johannes Meier et al.