Most Cited 2024 "fourier embedding" Papers
12,324 papers found • Page 21 of 62
Conference
Faster Sampling via Stochastic Gradient Proximal Sampler
Xunpeng Huang, Difan Zou, Hanze Dong et al.
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow
Orcun Cetintas, Tim Meinhardt, Guillem Brasó et al.
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Yangming Li, Boris van Breugel, Mihaela van der Schaar
Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance
Rui Zou, Sannyuya Liu, Yawei Luo et al.
Encapsulating Knowledge in One Prompt
Qi Li, Runpeng Yu, Xinchao Wang
Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments
YIYAO MA, Kai Chen, Hon-Sing Tong et al.
Bayesian Evidential Deep Learning for Online Action Detection
Hongji Guo, Hanjing Wang, Qiang Ji
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Ashish Kumar, Daneul Kim, Jaesik Park et al.
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers
Chenglin Yang, Siyuan Qiao, Yuan Cao et al.
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation
Ruida Zhang, Chenyangguang Zhang, Yan Di et al.
SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging
Haijin Zeng, Yuxi Liu, Yongyong Chen et al.
Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data
Zhengfeng Lai, Joohi Chauhan, Brittany N. Dugger et al.
HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning
Eugene Valassakis, Guillermo Garcia-Hernando
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network
Zida Chen, Ziran Zhang, Haoying Li et al.
Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization
Wei Huang, Yilei Shi, Zhitong Xiong et al.
Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography
Romain Vo, Julie Escoda, Caroline Vienne et al.
SonicVisionLM: Playing Sound with Vision Language Models
Zhifeng Xie, Shengye Yu, Qile He et al.
Domain Generalizable Person Search Using Unreal Dataset
Authors: Minyoung Oh, Duhyun Kim, Jae-Young Sim
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
Authors: Jinqian Chen, Jihua Zhu, Qinghai Zheng et al.
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization
Feixiang Zhou, Bryan M. Williams, Hossein Rahmani
BAND: Biomedical Alert News Dataset
Zihao Fu, Meiru Zhang, Zaiqiao Meng et al.
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification
Jinseong Park, Yujin Choi, Jaewook Lee
Shifted Autoencoders for Point Annotation Restoration in Object Counting
Yuda Zou, Xin Xiao, Peilin Zhou et al.
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
Saptarshi Chakraborty, Peter Bartlett
Human Pose Recognition via Occlusion-Preserving Abstract Images
Saad Manzur, Wayne B Hayes
Sketch2Vox: Learning 3D Reconstruction from a Single Monocular Sketch Image
Fei Wang
Unsupervised, Online and On-The-Fly Anomaly Detection For Non-Stationary Image Distributions
Declan GD McIntosh, Alexandra Branzan Albu
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels
Jae Soon Baik, In Young Yoon, Kun Hoon Kim et al.
Compensation Sampling for Improved Convergence in Diffusion Models
Hui Lu, Albert Ali Salah, Ronald Poppe
Learned HDR Image Compression for Perceptually Optimal Storage and Display
Peibei Cao, HAOYU CHEN, Jingzhe Ma et al.
McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction
Daxuan Ren, Hezi Shi, Jianmin Zheng et al.
QueryCDR: Query-based Controllable Distortion Rectification Network for Fisheye Images
Pengbo Guo, Chengxu Liu, Xingsong Hou et al.
H-V2X: A Large Scale Highway Dataset for BEV Perception
Chang Liu, MingXu zhu, Cong Ma
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients
Aoran Wang, Jun Pang
Finding a needle in a haystack: A Black-Box Approach to Invisible Watermark Detection
Minzhou Pan, Zhenting Wang, Xin Dong et al.
Towards a Density Preserving Objective Function for Learning on Point Sets
Haritha Jayasinghe, Ioannis Brilakis
Maximum Entropy Model Correction in Reinforcement Learning
Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh et al.
Visual Grounding for Object-Level Generalization in Reinforcement Learning
Haobin Jiang, Zongqing Lu
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Won-Seok Choi, Hyundo Lee, Dong-Sig Han et al.
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim, Sanghyuk Chun, Byeongho Heo et al.
Light-in-Flight for a World-in-Motion
Jongho Lee, Ryan J Suess, Mohit Gupta
StyleCity: Large-Scale 3D Urban Scenes Stylization
Yingshu Chen, Huajian Huang, Tuan-Anh Vu et al.
3R-INN: How to be climate friendly while consuming/delivering videos?
ZOUBIDA AMEUR, Claire-Helene Demarty, Olivier LE MEUR et al.
Statistical Spatially Inhomogeneous Diffusion Inference
Yinuo Ren, Yiping Lu, Lexing Ying et al.
Learning Uncertainty-Aware Temporally-Extended Actions
Joongkyu Lee, Seung Joon Park, Yunhao Tang et al.
Image Manipulation Detection With Implicit Neural Representation and Limited Supervision
Zhenfei Zhang, Mingyang Li, Xin Li et al.
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition
Yurong Zhang, Honghao Chen, Zhang Xinyu et al.
Improving Neural Surface Reconstruction with Feature Priors from Multi-View Images
Xinlin Ren, Chenjie Cao, Yanwei Fu et al.
A General Search-Based Framework for Generating Textual Counterfactual Explanations
Daniel Gilo, Shaul Markovitch
SemanticHuman-HD: High Resolution Semantic disentangled 3D Human Generation
Peng Zheng, Tao Liu, Zili Yi et al.
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs
Deividas Eringis, John Leth, Zheng-Hua Tan et al.
Neural Surface Detection for Unsigned Distance Fields
Federico Stella, Nicolas Talabot, Hieu Le et al.
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games
Iosif Sakos, Stefanos Leonardos, Stelios Stavroulakis et al.
Classification with Conceptual Safeguards
Hailey Joren, Charles Marx, Berk Ustun
Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-rich Superpixels
Yuan Gao, Zilei Wang, Yixin Zhang et al.
CipherDM: Secure Three-Party Inference for Diffusion Model Sampling
Xin Zhao, Xiaojun Chen, Xudong Chen et al.
A Hierarchical Network for Multimodal Document-Level Relation Extraction
Lingxing Kong, Jiuliang Wang, Zheng Ma et al.
WindPoly: Polygonal Mesh Reconstruction via Winding Numbers
Xin He, Chenlei Lyu, Pengdi Huang et al.
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Yufan LIAO, Qi Wu, Xing Yan
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang, Dong-Wan Choi
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition
Chenyu Liu, Jia Pan, Jinshui Hu et al.
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
Lin Chen, Zhijie Jia, Lechao Cheng et al.
Rethinking Normalization Layers for Domain Generalizable Person Re-identification
Ren Nie, Jin Ding, Xue Zhou et al.
Abstract Action Scheduling for Optimal Temporal Planning via OMT
Stefan Panjkovic, Andrea Micheli
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
HDformer: A Higher
Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild
Yifeng Huang, Duc Nguyen, Nguyễn Lâm et al.
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
Qian-Wei Wang, Bowen Zhao, Mingyan Zhu et al.
Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement
Aditay Tripathi, Pradeep Shenoy, Anirban Chakraborty
Multi-Region Text-Driven Manipulation of Diffusion Imagery
Yiming Li, Peng Zhou, Jun Sun et al.
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing
Ruisi Zhao, Mingming Li, Zheng Yang et al.
PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF
Mohsen Gholami, Rabab Ward, Z. Jane Wang
VideoClusterNet: Self-Supervised and Adaptive Face Clustering for Videos
Devesh Bilwakumar Walawalkar, Pablo Garrido
Vista3D: unravel the 3d darkside of a single image
Qiuhong Shen, Xingyi Yang, Michael Bi Mi et al.
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho et al.
FaceCoresetNet: Differentiable Coresets for Face Set Recognition
Gil Shapira, Yosi Keller
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
Zeyu Zhou, Ruqi Bai, Sean Kulinski et al.
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption
Yiding Chen, Xuezhou Zhang, Qiaomin Xie et al.
Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images
Tianyu Luan, Zhongpai Gao, Luyuan Xie et al.
Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition
Sumin Lee, Yooseung Wang, Sangmin Woo et al.
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.
Ashutosh Singh, Ricardo Borsoi, Deniz Erdogmus et al.
VP-SAM: Taming Segment Anything Model for Video Polyp Segmentation via Disentanglement and Spatio-temporal Side Network
Zhixue Fang, Yuzhi Liu, Huisi Wu et al.
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
Tserendorj Adiya, Jae Shin Yoon, Jung Eun Lee et al.
Fine-grained Dynamic Network for Generic Event Boundary Detection
Ziwei Zheng, Lijun He, Le Yang et al.
An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes
Amar Shah, Federico Mora, Sanjit A. Seshia
Stabilizing Backpropagation Through Time to Learn Complex Physics
Patrick Schnell, Nils Thuerey
Testing Self-Reducible Samplers
Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote et al.
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
Kaiyou Song, Shan Zhang, Tong Wang
NetInfoF Framework: Measuring and Exploiting Network Usable Information
Meng-Chieh Lee, Haiyang Yu, Jian Zhang et al.
Generalization of Scaled Deep ResNets in the Mean-Field Regime
Yihang Chen, Fanghui Liu, Yiping Lu et al.
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples
Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam et al.
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models
Jun-Yeong Moon, Jung Uk Kim, Gyeong-Moon Park
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling
Jiaqi Xu, Bo Liu, Yunkuo Chen et al.
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, ioannis Patras
GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering
Yifeng Zhang, Ming Jiang, Qi Zhao
Masked Distillation Advances Self-Supervised Transformer Architecture Search
Caixia Yan, Xiaojun Chang, Zhihui Li et al.
CSOT: Cross-Scan Object Transfer for Semi-Supervised LiDAR Object Detection
Jinglin Zhan, Tiejun Liu, Rengang Li et al.
Point-supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance
Jing Li, Junsong Fan, Zhaoxiang Zhang
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection
Xiaoyuan Guan, Jiankang Chen, Shenshen Bu et al.
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
Adel Javanmard, Lin Chen, Vahab Mirrokni et al.
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu, Zifan Xu, Runxuan Jiang et al.
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov, Qin Zhang
FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation
Jingyi Tang, Gu Wang, Zeyu Chen et al.
Enabling Lanuguage Models to Implicitly Learn Self-Improvement
Ziqi Wang, Le Hou, Tianjian Lu et al.
Characterizing Model Robustness via Natural Input Gradients
Adrian Rodriguez-Munoz, Tongzhou Wang, Antonio Torralba
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences
Shishir Reddy Vutukur, Junwen Huang, Rasmus Laurvig Haugaard et al.
MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection
Hongbin Lin, Yifan Zhang, SHUAICHENG NIU et al.
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation
Yunfei Xie, Cihang Xie, Alan Yuille et al.
FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis
Vishnu Mani Hema, Shubhra Aich, Christian Haene et al.
One Step Learning, One Step Review
Huang Xiaolong, Qiankun Li, Xueran Li et al.
FedVAD: Enhancing Federated Video Anomaly Detection with GPT-Driven Semantic Distillation
Fan Qi, Ruijie Pan, Huaiwen Zhang et al.
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wisadwongsa, Worameth Chinchuthakun, Pramook Khungurn et al.
Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem
Keyuan Zhang, Zhongdong Liu, Nakjung Choi et al.
Principled Architecture-aware Scaling of Hyperparameters
Wuyang Chen, Junru Wu, Zhangyang Wang et al.
Non-monotone Sequential Submodular Maximization
Shaojie Tang, Jing Yuan
Photon Inhibition for Energy-Efficient Single-Photon Imaging
Lucas Koerner, Shantanu Gupta, Atul N Ingle et al.
Deep Online Probability Aggregation Clustering
Yuxuan Yan, Na Lu, Ruofan Yan
Learning to Count without Annotations
Lukas Knobel, Tengda Han, Yuki Asano
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An, Suyeong Park, Kwang In Kim
On Inference Stability for Diffusion Models
Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.
MC-PanDA: Mask Confidence for Panoptic Domain Adaptation
Ivan Martinovic, Josip Šarić, Siniša Šegvić
Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation
Linlong Fan, Ye Huang, Yanqi Ge et al.
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling
William Zhu, Keren Ye, Junjie Ke et al.
Cost Minimization for Equilibrium Transition
Haoqiang Huang, Zihe Wang, Zhide Wei et al.
Platypus: A Generalized Specialist Model for Reading Text in Various Forms
Peng Wang, Zhaohai Li, Jun Tang et al.
Pay to (Not) Play: Monetizing Impatience in Mobile Games
Taylor Lundy, Narun Raman, Hu Fu et al.
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image
Xingyu Liu, Pengfei Ren, Jingyu Wang et al.
A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation
Mufan Xue, Xinyu Wu, Jinlong Li et al.
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively
Hao Jiang, Tien Mai, Pradeep Varakantham et al.
REDIR: Refocus-free Event-based De-occlusion Image Reconstruction
Qi Guo, Hailong Shi, Huan Li et al.
Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning
Jianjie Luo, Jingwen Chen, Yehao Li et al.
Span Graph Transformer for Document-Level Named Entity Recognition
Hongli Mao, Xian-Ling Mao, Hanlin Tang et al.
Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)
Christian Kindermann, Anne-Marie George, Bijan Parsia et al.
Unified Local-Cloud Decision-Making via Reinforcement Learning
Kathakoli Sengupta, Zhongkai Shangguan, Sandesh Bharadwaj et al.
Any-Way Meta Learning
JunHoo Lee, Yearim Kim, Hyunho Lee et al.
Auditable Algorithms for Approximate Model Counting
S Akshay, Supratik Chakraborty, Kuldeep S Meel
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting
Jiezhi Yang, Khushi P Desai, Charles Packer et al.
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
Oscar Skean, Aayush Dhakal, Nathan Jacobs et al.
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding
Danish Nazir, Timo Bartels, Jan Piewek et al.
Levenshtein Distance Embedding with Poisson Regression for DNA Storage
Xiang Wei, Alan J.X. Guo, Sihan Sun et al.
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
Xiangming Zhu, Huayu Deng, Haochen Yuan et al.
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models
Yang Zhou, Yongjian Wu, Jiya Saiyin et al.
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information
Luca Di Giammarino, Boyang Sun, Giorgio Grisetti et al.
On the Expressivity of Recurrent Neural Cascades
Nadezda Knorozova, Alessandro Ronca
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
Jialong Wu, Mirko Meuter, Markus Schoeler et al.
What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases
Luca Andolfi, Gianluca Cima, Marco Console et al.
DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration
Meng-Cheng Shih, Tsai-Ling Huang, Yu-Heng Shih et al.
Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network
Chenhao Zhang, WEI GAO
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data
Wufei Ma, Kai Li, Zhongshi Jiang et al.
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
Brian Zhang, Gabriele Farina, Tuomas Sandholm
SeiT++: Masked Token Modeling Improves Storage-efficient Training
Minhyun Lee, Song Park, Byeongho Heo et al.
Quantization-Friendly Winograd Transformations for Convolutional Neural Networks
Vladimir Protsenko, Vladimir Kryzhanovskiy, Alexander Filippov
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
Jie Qiao, Yu Xiang, Zhengming Chen et al.
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose
Yoshiyasu Yusuke, Leyuan Sun
SNP: Structured Neuron-level Pruning to Preserve Attention Scores
Kyunghwan Shim, Jaewoong Yun, Shinkook Choi
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
Wenyu Zhang, Qingmu Liu, Felix Ong et al.
Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees
Zongjun Yang, Luofeng Liao, Christian Kroer
Formula-Supervised Visual-Geometric Pre-training
Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka et al.
Rethinking Robustness of Model Attributions
Sandesh Kamath, Sankalp Mittal, Amit Deshpande et al.
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks
Sanbao Su, Xin Li, Thang Doan et al.
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
Wonjeong Choi, Jungwuk Park, Dong-Jun Han et al.
ToNNO: Tomographic Reconstruction of a Neural Network’s Output for Weakly Supervised Segmentation of 3D Medical Images
Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Belachew et al.
Pre-training Vision Models with Mandelbulb Variations
Benjamin N. Chiche, Yuto Horikawa, Ryo Fujita
SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks
Abhishek Singh, Vivek Sharma, Rohan Sukumaran et al.
The Logic of Doxastic Strategies
Junli Jiang, Pavel Naumov
SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding
Han Xiao, Wenzhao Zheng, Sicheng Zuo et al.
Mean Field Theory in Deep Metric Learning
Takuya Furusawa
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
Prantik Howlader, Hieu Le, Dimitris Samaras
NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis
Yubin Hu, Xiaoyang Guo, Yang Xiao et al.
Enhanced Sparsification via Stimulative Training
Shengji Tang, Weihao Lin, Hancheng Ye et al.
CPN: Complementary Proposal Network for Unconstrained Text Detection
Longhuang Wu, Shangxuan Tian, Youxin Wang et al.
ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion
Yan Hong, Yuxuan Duan, Bo Zhang et al.
A2XP: Towards Private Domain Generalization
Geunhyeok Yu, Hyoseok Hwang
OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation
Yuchen Che, Ryo Furukawa, Asako Kanezaki
Towards Better Vision-Inspired Vision-Language Models
Yun-Hao Cao, Kaixiang Ji, Ziyuan Huang et al.
On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing
Raven Beutner, Bernd Finkbeiner
Region-Native Visual Tokenization
Mengyu Wang, Yuyao Huang, Henghui Ding et al.
Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection
Kangqi Ma, Hao Dong, Yadong Mu
Online Video Quality Enhancement with Spatial-Temporal Look-up Tables
Zefan Qu, Xinyang Jiang, Yifan Yang et al.
Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping
Minseong Park, Suhan Woo, Euntai Kim
Removing Rows and Columns of Tokens in Vision Transformer enables Faster Dense Prediction without Retraining
Diwei Su, cheng fei, Jianxu Luo
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
Qinji Yu, Yirui Wang, Ke Yan et al.
Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality
Kyu Ri Park, Hong Joo Lee, Jung Uk Kim
MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise
Qingzheng Huang, Xilin He, Xiaole Xian et al.
Synthesizing Time-varying BRDFs via Latent Space
Takuto Narumoto, Hiroaki Santo, Fumio Okura
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
Javier Larrosa, Conrado Martínez, Emma Rollon
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.
Topology-Preserving Downsampling of Binary Images
Chia-Chia Chen, Chi-Han Peng
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery
Pei Zhou, Yanchao Yang
Discontinuity-preserving Normal Integration with Auxiliary Edges
Hyomin Kim, Yucheol Jung, Seungyong Lee
Adaptive Annealing for Robust Averaging
Sidhartha Chitturi, Venu Madhav Govindu
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
Peng Liao, Xilu Wang, Yaochu Jin et al.
Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation
YAO YAO, Yixuan Pan, Wenjun Shi et al.
Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis
Hanting Li, Hongjing Niu, Feng Zhao
Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi, Jongheon Jeong, Huiwon Jang et al.
PAV: Personalized Head Avatar from Unstructured Video Collection
Akin Caliskan, Berkay Kicanaoglu, H K
Learning the Topology and Behavior of Discrete Dynamical Systems
Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
Hanhui Li, Xiaojian Lin, Xuan Huang et al.