Most Cited 2024 "conditional score networks" Papers
12,324 papers found • Page 40 of 62
Conference
Diffusion Posterior Sampling is Computationally Intractable
Shivam Gupta, Ajil Jalal, Aditya Parulekar et al.
PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu et al.
Do Topological Characteristics Help in Knowledge Distillation?
Jungeun Kim, Junwon You, Dongjin Lee et al.
Stochastic Optimization with Arbitrary Recurrent Data Sampling
William Powell, Hanbaek Lyu
Partially Stochastic Infinitely Deep Bayesian Neural Networks
Sergio Calvo Ordoñez, Matthieu Meunier, Francesco Piatti et al.
Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
Mohannad Elhamod, Anuj Karpatne
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Dyah Adila, Shuai Zhang, Boran Han et al.
Centralized Selection with Preferences in the Presence of Biases
L. Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi et al.
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
Rui Li, Chaozhuo Li, Yanming Shen et al.
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Yair Schiff, Zhong Yi Wan, Jeffrey Parker et al.
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
Zhongzhi Yu, Zheng Wang, Yonggan Fu et al.
BAT: Learning to Reason about Spatial Sounds with Large Language Models
Zhisheng Zheng, Puyuan Peng, Ziyang Ma et al.
Rethinking Transformers in Solving POMDPs
Chenhao Lu, Ruizhe Shi, Yuyao Liu et al.
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeonah Kim, Minsu Kim, Sungsoo Ahn et al.
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
Trenton Chang, Jenna Wiens
Embodied CoT Distillation From LLM To Off-the-shelf Agents
Wonje Choi, Woo Kyung Kim, Minjong Yoo et al.
A General Framework for Sequential Decision-Making under Adaptivity Constraints
Nuoya Xiong, Zhaoran Wang, Zhuoran Yang
How Does Goal Relabeling Improve Sample Efficiency?
Sirui Zheng, Chenjia Bai, Zhuoran Yang et al.
Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling
Zehao Dou, Minshuo Chen, Mengdi Wang et al.
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
Yao Mu, Junting Chen, Qing-Long Zhang et al.
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Yujia Liu, Tong Bu, Ding Jianhao et al.
Layerwise Change of Knowledge in Neural Networks
Xu Cheng, Lei Cheng, Zhaoran Peng et al.
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
Xiao-Wen Yang, Wen-Da Wei, Jie-Jing Shao et al.
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song et al.
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai et al.
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman et al.
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin, Matthew Reimherr
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
Chentao Cao, Zhun Zhong, Zhanke Zhou et al.
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Johann Schmidt, Sebastian Stober
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
Kumar Shubham, Aishwarya Jayagopal, Syed Danish et al.
Interacting Diffusion Processes for Event Sequence Forecasting
Mai Zeng, Florence Regol, Mark Coates
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Royson Lee, Javier Fernandez-Marques, Xu Hu et al.
On Interpolating Experts and Multi-Armed Bandits
Houshuang Chen, Yuchen He, Chihao Zhang
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li, Zifan LIU, Shibo Chen et al.
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
Guoqi Yu, Jing Zou, Xiaowei Hu et al.
NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors
Shi-Sheng Huang, Guo Chen, Li-heng Chen et al.
On the Calibration of Human Pose Estimation
Kerui Gu, Rongyu Chen, Xuanlong Yu et al.
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
Kaining Ying, Fanqing Meng, Jin Wang et al.
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
Feiran Li, Qianqian Xu, Shilong Bao et al.
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
Jiajun Ma, Shuchen Xue, Tianyang Hu et al.
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning
Yukinari Hisaki, Isao Ono
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang et al.
DFD: Distilling the Feature Disparity Differently for Detectors
Kang Liu, Yingyi Zhang, Jingyun Zhang et al.
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu, Tong Xialiang, Mingxuan Yuan et al.
In-Context Unlearning: Language Models as Few-Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences
Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban et al.
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal et al.
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki et al.
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
Ze Cheng, Zhongkai Hao, Wang Xiaoqiang et al.
Auto-Linear Phenomenon in Subsurface Imaging
Yinan Feng, Yinpeng Chen, Peng Jin et al.
Accelerating Parallel Sampling of Diffusion Models
Zhiwei Tang, Jiasheng Tang, Hao Luo et al.
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
Jianliang He, Siyu Chen, Fengzhuo Zhang et al.
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Onur Celik, Aleksandar Taranovic, Gerhard Neumann
DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
Zongxin Yang, Guikun Chen, Xiaodi Li et al.
Distributed Bilevel Optimization with Communication Compression
Yutong He, Jie Hu, Xinmeng Huang et al.
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
Guanhua Zhang, Moritz Hardt
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
Denys Pushkin, Raphaël Berthier, Emmanuel Abbe
On the Weight Dynamics of Deep Normalized Networks
Christian H.X. Ali Mehmeti-Göpel, Michael Wand
Jacobian Regularizer-based Neural Granger Causality
Wanqi Zhou, Shuanghao Bai, Shujian Yu et al.
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
Jonas Beck, Nathanael Bosch, Michael Deistler et al.
Projecting Molecules into Synthesizable Chemical Spaces
Shitong Luo, Wenhao Gao, Zuofan Wu et al.
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta et al.
Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining
Yudong Gao, Honglong Chen, Peng Sun et al.
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Yichao Fu, Peter Bailis, Ion Stoica et al.
Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
Florian Dorner, Moritz Hardt
Causal Inference from Competing Treatments
Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt
Denoising Autoregressive Representation Learning
Yazhe Li, Jorg Bornschein, Ting Chen
On a Neural Implementation of Brenier's Polar Factorization
Nina Vesseron, Marco Cuturi
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
Xueyang Tang, Song Guo, Jingcai Guo et al.
Privacy Attacks in Decentralized Learning
Abdellah El Mrini, Edwige Cyffers, Aurélien Bellet
Membership Inference Attacks on Diffusion Models via Quantile Regression
Shuai Tang, Steven Wu, Sergul Aydore et al.
Hybrid Neural Representations for Spherical Data
Hyomin Kim, Yunhui Jang, Jaeho Lee et al.
4D Contrastive Superflows are Dense 3D Representation Learners
Xiang Xu, Lingdong Kong, Hui Shuai et al.
Premise Order Matters in Reasoning with Large Language Models
Xinyun Chen, Ryan Chi, Xuezhi Wang et al.
Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance
Kuan-Chih Huang, Yi-Hsuan Tsai, Ming-Hsuan Yang
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation
Taekyung Ki, Dongchan Min, Gyeongsu Chae
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing
Vadim Titov, Madina Khalmatova, Alexandra Ivanova et al.
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
An Zhang, Han Wang, Xiang Wang et al.
BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos
Pilhyeon Lee, Hyeran Byun
MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description
Ziqiang Zheng, Yiwei Chen, Huimin Zeng et al.
BRAVE: Broadening the visual encoding of vision-language models
Oguzhan Fatih Kar, Alessio Tonioni, Petra Poklukar et al.
SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction
Marko Mihajlovic, Sergey Prokudin, Siyu Tang et al.
CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance
Zhipeng Hu, Yongqiang Zhang, Chen Liu et al.
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation
Xiaoshuai Hao, Ruikai Li, Hui Zhang et al.
High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs
Ruikang Xu, Mingde Yao, Yue Li et al.
HIMO: A New Benchmark for Full-Body Human Interacting with Multiple Objects
Xintao Lv, Liang Xu, Yichao Yan et al.
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Ruijie Yao, Sheng Jin, Lumin Xu et al.
Merlin: Empowering Multimodal LLMs with Foresight Minds
En Yu, liang zhao, YANA WEI et al.
E.T. the Exceptional Trajectory: Text-to-camera-trajectory generation with character awareness
Robin Courant, Nicolas Dufour, Xi WANG et al.
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs
Yang Miao, Francis Engelmann, Olga Vysotska et al.
Spectral Subsurface Scattering for Material Classification
Haejoon Lee, Aswin C. Sankaranarayanan
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
Yunhao Gou, Kai Chen, Zhili LIU et al.
Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation
Peixi Xiong, Michael A Kozuch, Nilesh Jain
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
Lin Chen, Jinsong Li, Xiaoyi Dong et al.
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
Pengxiang Ding, Han Zhao, Wenjie Zhang et al.
Cross-Input Certified Training for Universal Perturbations
Changming Xu, Gagandeep Singh
Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation Framework
Wei Suo, Lanqing Lai, Mengyang Sun et al.
LiDAR-Event Stereo Fusion with Hallucinations
Luca Bartolomei, Matteo Poggi, Andrea Conti et al.
MMBENCH: Is Your Multi-Modal Model an All-around Player?
Yuan Liu, Haodong Duan, Yuanhan Zhang et al.
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
Shengtao Li, Ge Gao, Yudong Liu et al.
Unsupervised Exposure Correction
Ruodai Cui, Li Niu, Guosheng Hu
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model
Armen Avetisyan, Christopher Xie, Henry Howard-Jenkins et al.
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation
Bangyan Liao, Zhenjun Zhao, Lu Chen et al.
3D Congealing: 3D-Aware Image Alignment in the Wild
Yunzhi Zhang, Zizhang Li, Amit Raj et al.
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment
Wulian Yun, Mengshi Qi, Fei Peng et al.
Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective
Panjian Huang, Yunjie Peng, Saihui Hou et al.
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
Chirag Vashist, Shichong Peng, Ke Li
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection
Kohei Yamashita, Vincent Lepetit, Ko Nishino
Robust Fitting on a Gate Quantum Computer
Frances Yang, Michele Sasdelli, Tat-Jun Chin
Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics
Shuai Yang, ZhiFei Chen, Pengguang Chen et al.
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
Luis Li, Hubert P. H. Shum, Toby P Breckon
3D Single-object Tracking in Point Clouds with High Temporal Variation
Qiao Wu, Kun Sun, Pei An et al.
Self-supervised Shape Completion via Involution and Implicit Correspondences
Mengya Liu, Ajad Chhatkuli, Janis Postels et al.
LoA-Trans: Enhancing Visual Grounding by Location-Aware Transformers
Ziling Huang, Shin’ichi Satoh
Energy-induced Explicit quantification for Multi-modality MRI fusion
Xiaoming Qi, Yuan Zhang, Tong Wang et al.
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation
Haonan Wang, Jie Liu, Jie Tang et al.
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training
Hyesong Choi, Hyejin Park, Kwang Moo Yi et al.
ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities
CHENMING ZHU, Tai Wang, Wenwei Zhang et al.
See and Think: Embodied Agent in Virtual Environment
Zhonghan Zhao, Xuan Wang, Wenhao Chai et al.
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii et al.
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields
Yonggan Fu, Huaizhi Qu, Zhifan Ye et al.
ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild
Chen Guo, Tianjian Jiang, Manuel Kaufmann et al.
Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees
Robin Kenis, Emanuel Laude, Panagiotis Patrinos
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
Baoxiong Jia, Yixin Chen, Huangyue Yu et al.
SENC: Handling Self-collision in Neural Cloth Simulation
Zhouyingcheng Liao, Sinan Wang, Taku Komura
m&m’s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks
Zixian Ma, Weikai Huang, Jieyu Zhang et al.
Plain-Det: A Plain Multi-Dataset Object Detector
cheng Shi, yuchen zhu, Sibei Yang
Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization
Naiyu Yin, Hanjing Wang, Yue Yu et al.
Local All-Pair Correspondence for Point Tracking
Seokju Cho, Jiahui Huang, Jisu Nam et al.
DCDM: Diffusion-Conditioned-Diffusion Model for Scene Text Image Super-Resolution
Shrey Singh, Prateek Keserwani, Masakazu Iwamura et al.
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
Linhao Qu, Dingkang Yang, Dan Huang et al.
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering
Xiuyuan Chen, Yuan Lin, Yuchen Zhang et al.
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
Seung Hyun Lee, Yinxiao Li, Junjie Ke et al.
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks
Jinjie Mai, Wenxuan Zhu, Sara Rojas Martinez et al.
MyVLM: Personalizing VLMs for User-Specific Queries
Yuval Alaluf, Elad Richardson, Sergey Tulyakov et al.
Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction
Xinhang Liu, Jiaben Chen, Shiu-Hong Kao et al.
Collaborative Control for Geometry-Conditioned PBR Image Generation
Shimon Vainer, Mark Boss, Mathias Parger et al.
Look Around and Learn: Self-Training Object Detection by Exploration
Gianluca Scarpellini, Stefano Rosa, Pietro Morerio et al.
Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model
Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images
Nir Barel, Ron Aharon Shapira Weber, Nir Mualem et al.
DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators
Hanyang Kong, Dongze Lian, Michael Bi Mi et al.
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians
Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos et al.
Label-anticipated Event Disentanglement for Audio-Visual Video Parsing
Jinxing Zhou, Dan Guo, Yuxin Mao et al.
Think before Placement: Common Sense Enhanced Transformer for Object Placement
Yaxuan Qin, Jiayu Xu, Ruiping Wang et al.
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
Jing Wu, Jiawang Bian, Xinghui Li et al.
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation
Genki Kinoshita, Ko Nishino
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion
Zhiheng Fu, Longguang Wang, Lian Xu et al.
GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views
Vinayak Gupta, Rongali Simhachala Venkata Girish, Mukund Varma T et al.
Efficient Bias Mitigation Without Privileged Information
Mateo Espinosa Zarlenga, Sankaranarayanan, Jerone Andrews et al.
Towards Open-Ended Visual Recognition with Large Language Models
Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
Omer Dahary, Or Patashnik, Kfir Aberman et al.
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models
Bowen Zhang, Yiji Cheng, Chunyu Wang et al.
IRGen: Generative Modeling for Image Retrieval
Yidan Zhang, Ting Zhang, DONG CHEN et al.
LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow
Hongyu Wen, Erich Liang, Jia Deng
Adaptive Parametric Activation
Konstantinos P Alexandridis, Jiankang Deng, Anh Nguyen et al.
Scaling Backwards: Minimal Synthetic Pre-training?
Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada et al.
Towards Multi-modal Transformers in Federated Learning
Guangyu Sun, Matias Mendieta, Aritra Dutta et al.
FisherRF: Active View Selection and Mapping with Radiance Fields using Fisher Information
Wen Jiang, BOSHU LEI, Kostas Daniilidis
General and Task-Oriented Video Segmentation
Mu Chen, Liulei Li, Wenguan Wang et al.
Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy
Fadlullah Raji, John Murray-Bruce
Learning 3D-aware GANs from Unposed Images with Template Feature Field
XINYA CHEN, Hanlei Guo, Yanrui Bin et al.
Human Hair Reconstruction with Strand-Aligned 3D Gaussians
Egor Zakharov, Vanessa Sklyarova, Michael J. Black et al.
SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders
Sheng-Wei Li, Zi-Xiang Wei, Wei-Jie Jack Chen et al.
CIC-BART-SSA: : Controllable Image Captioning with Structured Semantic Augmentation
Kalliopi Basioti, Mohamed A Abdelsalam, Federico Fancellu et al.
Rethinking Image Super Resolution from Training Data Perspectives
Go Ohtani, Ryu Tadokoro, Ryosuke Yamada et al.
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection
Kuo Wang, Lechao Cheng, Weikai Chen et al.
Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams
Liwen Hu, gang ding, Mianzhi Liu et al.
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation
Jiefeng Li, Ye Yuan, Davis Rempe et al.
Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration
Zhihao Liang, Qi Zhang, WENBO HU et al.
Uni3DL: A Unified Model for 3D Vision-Language Understanding
Xiang Li, Jian Ding, Zhaoyang Chen et al.
G3R: Gradient Guided Generalizable Reconstruction
Yun Chen, Jingkang Wang, Ze Yang et al.
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning
Weijie Wei, Fatemeh Karimi Nejadasl, Theo Gevers et al.
Invertible Neural Warp for NeRF
Shin-Fang Chng, Ravi Garg, Hemanth Saratchandran et al.
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
Sungyeon Kim, Boseung Jeong, Donghyun Kim et al.
MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
Tianqi Liu, Guangcong Wang, Shoukang Hu et al.
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
Hang Guo, Jinmin Li, Tao Dai et al.
I Can't Believe It's Not Scene Flow!
Ishan Khatri, Kyle Vedder, Neehar Peri et al.
Bi-directional Contextual Attention for 3D Dense Captioning
Minjung Kim, Hyung Suk Lim, Soonyoung Lee et al.
Scalable Group Choreography via Variational Phase Manifold Learning
Nhat Le, Khoa Do, Xuan Bui et al.
TPA3D: Triplane Attention for Fast Text-to-3D Generation
Bin-Shih Wu, HONG-EN CHEN, Sheng-Yu Huang et al.
Augmented Neural Fine-tuning for Efficient Backdoor Purification
Md Nazmul Karim, Abdullah Al Arafat, Umar Khalid et al.
Retrieval Robust to Object Motion Blur
Rong Zou, Marc Pollefeys, Denys Rozumnyi
Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction
Bingyu Xin, Meng Ye, Leon Axel et al.
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
Jiajun Hu, Jian Zhang, Lei Qi et al.
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
Peishen Yan, Hao Wang, Tao Song et al.
SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding
Zixu Cheng, Yujiang Pu, Shaogang Gong et al.
How Video Meetings Change Your Expression
Sumit Sarin, Utkarsh Mall, Purva Tendulkar et al.
Audio-driven Talking Face Generation with Stabilized Synchronization Loss
Dogucan Yaman, Fevziye Irem Eyiokur Yaman, Leonard Bärmann et al.
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
Bjoern Michele, Alexandre Boulch, Tuan Hung Vu et al.
L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model
Yuchen Hong, Haofeng Zhong, Shuchen Weng et al.
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Yu Wang, Xiaogeng Liu, Yu Li et al.
LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping
Nikhil Gosala, Kürsat Petek, B Ravi Kiran et al.
Blind image deblurring with noise-robust kernel estimation
Chanseok Lee, Jeongsol Kim, Seungmin Lee et al.
Free-Viewpoint Video of Outdoor Sports Using a Drone
Zhengdong Hong
Binomial Self-compensation for Motion Error in Dynamic 3D Scanning
Geyou Zhang, Ce Zhu, Kai Liu
Momentum Auxiliary Network for Supervised Local Learning
Junhao Su, Changpeng Cai, Feiyu Zhu et al.
Cocktail Universal Adversarial Attack on Deep Neural Networks
Shaoxin Li, Xiaofeng Liao, Xin Che et al.
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders
Carlos Hinojosa, Shuming Liu, Bernard Ghanem
Resilience of Entropy Model in Distributed Neural Networks
Milin Zhang, Mohammad Abdi, Shahriar Rifat et al.
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
Yue Fan, Xiaojian Ma, Rujie Wu et al.