Most Cited 2024 "time-aware mil pooling" Papers
12,324 papers found • Page 20 of 62
Conference
Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision
Hussain Sajwani, Dimitrios Makris, Yahya Zweiri et al.
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
Yeongwoo Song, Hawoong Jeong
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
Idit Diamant, Amir Rosenfeld, Idan Achituve et al.
PFedEdit: Personalized Federated Learning via Automated Model Editing
Haolin Yuan, William Paul, John Aucott et al.
Self-Training Room Layout via Geometry-aware Ray-casting
Bolivar Solarte, Chin-Hsuan Wu, Jin-Cheng Jhang et al.
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops
Aditya Prakash, Arjun Gupta, Saurabh Gupta
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
Yuguang Yan, Zeqin Yang, Weilin Chen et al.
Benchmarking the Robustness of Cross-view Geo-localization Models
Qingwang Zhang, Yingying Zhu
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos
Ali Zare, Yulei Niu, Hammad Ayyubi et al.
UniCell: Universal Cell Nucleus Classification via Prompt Learning
Junjia Huang, Haofeng Li, Xiang Wan et al.
Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization
Shaohan Li, Yunpeng Shi, Gilad Lerman
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang, Haoran Han, Maolong Lv et al.
NeRMo: Learning Implicit Neural Representations for 3D Human Motion Prediction
Dong Wei, Huaijiang Sun, Xiaoning Sun et al.
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers
Navaneet K L, Soroush Abbasi Koohpayegani, Essam Sleiman et al.
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
Min Wang, Xin Li, Leiji Zhang et al.
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
Milan Papez, Martin Rektoris, Vaclav Smidl et al.
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference
Dongyan Huo, Yudong Chen, Qiaomin Xie
PDT Uav Target Detection Dataset for Pests and Diseases Tree
Mingle Zhou, Rui Xing, Delong Han et al.
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
Yaxin Fang, Faming Liang
A Quadratic Synchronization Rule for Distributed Deep Learning
Xinran Gu, Kaifeng Lyu, Sanjeev Arora et al.
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching
Siddharth Tourani, Muhammad Haris Khan, Carsten Rother et al.
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
Kun Wang, Zhiqiang Yan, Huang Tian et al.
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
Silvio Galesso, Philipp Schröppel, Hssan Driss et al.
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
K. Chan, Fayao Liu, Guosheng Lin et al.
On the Joint Interaction of Models, Data, and Features
Yiding Jiang, Christina Baek, J Kolter
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
Rasool Fakoor, Jonas Mueller, Zachary Lipton et al.
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale
Adam Pardyl, Michal Wronka, Maciej Wołczyk et al.
Scaling Few-Shot Learning for the Open World
Zhipeng Lin, Wenjing Yang, Haotian Wang et al.
Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats
Mingyang Xie, Haoming Cai, Sachin Shah et al.
X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
Anna Kukleva, Fadime Sener, Edoardo Remelli et al.
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
Jiayun Wang, Yubei Chen, Stella Yu
Headless Language Models: Learning without Predicting with Contrastive Weight Tying
Nathan Godey, Éric Clergerie, Benoît Sagot
Hypernetworks for Generalizable BRDF Representation
Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou et al.
Multiplane Prior Guided Few-Shot Aerial Scene Rendering
Zihan Gao, Licheng Jiao, Lingling Li et al.
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
Guangchi Fang, Qingyong Hu, Longguang Wang et al.
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee
TexVocab: Texture Vocabulary-conditioned Human Avatars
Yuxiao Liu, Zhe Li, Yebin Liu et al.
Hypercorrelation Evolution for Video Class-Incremental Learning
Sen Liang, Kai Zhu, Wei Zhai et al.
Learning to Approximate Adaptive Kernel Convolution on Graphs
Jaeyoon Sim, Sooyeon Jeon, InJun Choi et al.
Real-Time Neural BRDF with Spherically Distributed Primitives
Yishun Dou, Zhong Zheng, Qiaoqiao Jin et al.
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
Zihao Tang, Zheqi Lv, Shengyu Zhang et al.
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
Xi Yang, Songsong Duan, Nannan Wang et al.
Anatomically Constrained Implicit Face Models
Prashanth Chandran, Gaspard Zoss
Stitched ViTs are Flexible Vision Backbones
Zizheng Pan, Jing Liu, Haoyu He et al.
Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes
Ke Wu, Kaizhao Zhang, Mingzhe Gao et al.
Learning Multi-Object Positional Relationships via Emergent Communication
Yicheng Feng, Boshi An, Zongqing Lu
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics
Xueyuan Yang, Chao Yao, Xiaojuan Ban
LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
Haoyang Ge, Qiao Feng, Hailong Jia et al.
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval
Yan Fang, Qingyao Ai, Jingtao Zhan et al.
Gravity-aligned Rotation Averaging with Circular Regression
Linfei Pan, Marc Pollefeys, Daniel Barath
Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions
Xiuchuan Li, Kun Zhang, Tongliang Liu
JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention
Brian Cheong, Jiachen Zhou, Steven Waslander
Seeing Faces in Things: A Model and Dataset for Pareidolia
Mark T Hamilton, Simon Stent, Vasha G DuTell et al.
Relational Distant Supervision for Image Captioning without Image-Text Pairs
Yayun Qi, Wentian Zhao, Xinxiao Wu
Learning to Obstruct Few-Shot Image Classification over Restricted Classes
Amber Yijia Zheng, Chiao-An Yang, Raymond Yeh
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
Alessandro Achille, Greg Ver Steeg, Tian Yu Liu et al.
Learning Diffusions under Uncertainty
Hao Huang, Qian Yan, Keqi Han et al.
Modality Translation for Object Detection Adaptation without forgetting prior knowledge
Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A Guerrero Pena et al.
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
Kenichiro Ando, S. Sekine, Mamoru Komachi
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
Sunghyeon Woo, SunWoo Lee, Dongsuk Jeon
SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing
Tomoki Ichikawa, Shohei Nobuhara, Ko Nishino
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration
Dongwon Park, Hayeon Kim, Se Young Chun
Augmented Bayesian Policy Search
Mahdi Kallel, Debabrota Basu, Riad Akrour et al.
Building Optimal Neural Architectures using Interpretable Knowledge
Keith Mills, Fred Han, Mohammad Salameh et al.
CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation
Hongyang Chen, Kaisheng Ma
Dynamic Spiking Graph Neural Networks
Yin Nan, Mengzhu Wang, Zhenghan Chen et al.
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
Wu Ran, Peirong Ma, Zhiquan He et al.
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Xi Chen, Chang Gao, Zuowen Wang et al.
Contrastive Learning with Synthetic Positives
Dewen Zeng, Xinrong Hu, Yawen Wu et al.
CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation
Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin et al.
A Graph Dynamics Prior for Relational Inference
Liming Pan, Cheng Shi, Ivan Dokmanic
Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers
Zhao Yutian, Tianjing Zhang, Hui JI
Distributed Manifold Hashing for Image Set Classification and Retrieval
Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation
Brandon Theodorou, Shrusti Jain, Cao Xiao et al.
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor
Andrea Conti, Matteo Poggi, Valerio CAMBARERI et al.
Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter
Suqi Song, Chenxu Zhang, Peng Zhang et al.
M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions
Mingsheng Li, Xin Chen, Chi Zhang et al.
Dataset Growth
Ziheng Qin, zhaopan xu, YuKun Zhou et al.
Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography
Kailai Zhou, Lijing Cai, Yibo Wang et al.
Implicit Neural Models to Extract Heart Rate from Video
Pradyumna Chari, Anirudh Bindiganavale Harish, Adnan Armouti et al.
Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference
Qian Liang, Yan Chen, Yang Hu
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
Xiaotian Hao, Jianye Hao, Chenjun Xiao et al.
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
Chao Chen, Yushen Liu, Zhizhong Han
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation
Mingkang Zhu, Xi Chen, Zhongdao Wang et al.
ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition
Tianhao Wu, Chuanxia Zheng, Qianyi Wu et al.
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring
Peng TANG, Zhiqiang Xu, Chunlai Zhou et al.
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
Bochao Liu, Pengju Wang, Shiming Ge
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Revisiting Supervision for Continual Representation Learning
Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski et al.
RSL-BA: Rolling Shutter Line Bundle Adjustment
Yongcong Zhang, Bangyan Liao, Yifei Xue et al.
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston et al.
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
Yiming Gao, Feiyu Liu, Liang Wang et al.
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment
Yufan Liu, Wanqian Zhang, Dayan Wu et al.
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks
Zhewei Wu, Ruilong Yu, Qihe Liu et al.
Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers
Javier Grau Chopite, Patrick Hähn, Matthias B Hullin
Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning
Ali Cheraghian, Zeeshan Hayder, Sameeea Ramasinghe et al.
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
Ruixiao Zhang, Tianchi Huang
Theoretical Understanding of Learning from Adversarial Perturbations
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Emergent Communication for Numerical Concepts Generalization
Enshuai Zhou, Yifan Hao, Rui Zhang et al.
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Simon, Pascal Frossard, Christophe De Vleeschouwer
Rectify the Regression Bias in Long-Tailed Object Detection
Ke Zhu, Minghao Fu, Jie Shao et al.
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Zaid Tasneem, Akshat Dave, Abhishek Singh et al.
FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning
Saandeep Aathreya, Shaun Canavan
AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset
Jan Lehr, Jan H Philipps, Alik Sargsyan et al.
3D Human Pose Estimation via Non-Causal Retentive Networks
Kaili Zheng, Feixiang Lu, Yihao Lv et al.
Event-Based Motion Magnification
Yutian Chen, Shi Guo, Yu Fangzheng et al.
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction
Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos et al.
A Cephalometric Landmark Regression Method based on Dual-encoder for High-resolution X-ray Image
Chao Dai, Wang Yang, Chaolin Huang et al.
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition
Ka Ho Chow, Sihao Hu, Tiansheng Huang et al.
Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions
Jin Gao, Lei Gan, Yuankai Li et al.
denoiSplit: a method for joint microscopy image splitting and unsupervised denoising
Ashesh Ashesh, Florian Jug
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Ximei Wang, Junwei Pan, Xingzhuo Guo et al.
Multi-Modal Video Dialog State Tracking in the Wild
Mohamed Adnen Abdessaied, Lei Shi, Andreas Bulling
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds
Dongmin Choi, Wonwoo Cho, Kangyeol Kim et al.
EcoMatcher: Efficient Clustering Oriented Matcher for Detector-free Image Matching
Peiqi Chen, Lei Yu, Yi Wan et al.
WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting
Jingjing Wu, Zhengyao Fang, Pengyuan Lyu et al.
Friendly Attacks to Improve Channel Coding Reliability
Anastasiia Kurmukova, Deniz Gunduz
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
Yanting Yang, Minghao Chen, Qibo Qiu et al.
SAIR: Learning Semantic-aware Implicit Representation
Canyu Zhang, Xiaoguang Li, Qing Guo et al.
Big Learning Expectation Maximization
Yulai Cong, Sijia Li
Path Choice Matters for Clear Attributions in Path Methods
Borui Zhang, Wenzhao Zheng, Jie Zhou et al.
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
Wengang Guo, Jiayi Yang, HuiLin YIN et al.
Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior
Qihang Fang, Yafei Song, Keqiang Li et al.
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
Churan Zhi, Junbao Zhuo, Shuhui Wang
MetaWeather: Few-Shot Weather-Degraded Image Restoration
Youngrae Kim, Younggeol Cho, Thanh-Tung Nguyen et al.
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues
Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau et al.
WAS: Dataset and Methods for Artistic Text Segmentation
Xudong Xie, Yuzhe Li, Yang Liu et al.
Learned Image Enhancement via Color Naming
David Serrano-Lozano, Luis Herranz, Michael S Brown et al.
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
Jaeseong Lee, Junha Hyung, Sohyun Jeong et al.
Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution
Yuehan Zhang, Seungjun Lee, Angela Yao
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction
Shengke Sun, Ziqian Luan, Zhanshan Zhao et al.
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network
Yuhang He, Zhuangzhuang Dai, Niki Trigoni et al.
TETRIS: Towards Exploring the Robustness of Interactive Segmentation
Andrey Moskalenko, Vlad Shakhuro, Anna Vorontsova et al.
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu, Haolun Wu, Xuan Li et al.
Detection-Based Intermediate Supervision for Visual Question Answering
Yuhang Liu, Daowan Peng, Wei Wei et al.
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model
Wenyu Li, Binghui Chen, Yifeng Geng et al.
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara, Saqib Bukhari, Georg Dr. Schneider et al.
PolarMatte: Fully Computational Ground-Truth-Quality Alpha Matte Extraction for Images and Video using Polarized Screen Matting
Kenji Enomoto, TJ Rhodes, Brian Price et al.
JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients
Woo Kyoung Han, Sunghoon Im, Jaedeok Kim et al.
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Yuxin Wang, Zunlei Feng, Haofei Zhang et al.
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
I. Anagnostides, Ioannis Panageas, Gabriele Farina et al.
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
Yuyuan Liu, Yuanhong Chen, Hu Wang et al.
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models
Qinyu Yang, Haoxin Chen, Yong Zhang et al.
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving
K. Hu, Tongbo Cao, Yuan Li et al.
Self-Supervised Dual Contouring
Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov
Implicit Steganography Beyond the Constraints of Modality
Sojeong Song, Seoyun Yang, Chang Yoo et al.
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
Customized Generation Reimagined: Fidelity and Editability Harmonized
Jian Jin, Yang Shen, Zhenyong Fu et al.
Open-World Dynamic Prompt and Continual Visual Representation Learning
Youngeun Kim, Jun Fang, Qin Zhang et al.
Synthesizing Environment-Specific People in Photographs
Mirela Ostrek, Carol O'Sullivan, Michael J. Black et al.
Instantaneous Perception of Moving Objects in 3D
Di Liu, Bingbing Zhuang, Dimitris N. Metaxas et al.
VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting
Renjie Li, Zhiwen Fan, Bohua Wang et al.
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
Filip Ilic, He Zhao, Thomas Pock et al.
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Yangming Li, Boris van Breugel, Mihaela van der Schaar
Symbolic Numeric Planning with Patterns
Matteo Cardellini, E. Giunchiglia, M. Maratea
WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion
Khiem Vuong, N. Dinesh Reddy, Robert Tamburo et al.
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
Townim Chowdhury, Kewen Liao, Vu Minh Hieu Phan et al.
Data-to-Model Distillation: Data-Efficient Learning Framework
Ahmad Sajedi, Samir Khaki, Lucy Z. Liu et al.
Interpretability-Guided Test-Time Adversarial Defense
Akshay Ravindra Kulkarni, Tsui-Wei Weng
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
Jin Liu, Xiaokang Pan, Junwen Duan et al.
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Christian Wilms, Tim Rolff, Maris N Hillemann et al.
Lagrangian Hashing for Compressed Neural Field Representations
Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Shabanov et al.
UniPTS: A Unified Framework for Proficient Post-Training Sparsity
JingJing Xie, Yuxin Zhang, Mingbao Lin et al.
Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization
Mengnan Liu, Le Wang, Sanping Zhou et al.
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhanpeng Zhou, Wen Shen, Huixin Chen et al.
FreeAugment: Data Augmentation Search Across All Degrees of Freedom
Tom Bekor, Niv Nayman, Lihi Zelnik-Manor
Retargeting Visual Data with Deformation Fields
Tim Elsner, Julia Berger, Tong Wu et al.
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng et al.
PFGS: High Fidelity Point Cloud Rendering via Feature Splatting
Jiaxu Wang, Zhang Ziyi, Junhao He et al.
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
Jiahuan Long, Tingsong Jiang, Wen Yao et al.
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models
Shouwei Ruan, Yinpeng Dong, Liu Hanqing et al.
Towards Robust Learning to Optimize with Theoretical Guarantees
Qingyu Song, Wei Lin, Juncheng Wang et al.
Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds
Yanni Ma, Hao Liu, Yun Pei et al.
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL
Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.
Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
Yuchen Yang, Yu Qiao, Xiao Sun
MRSP: Learn Multi-Representations of Single Primitive for Compositional Zero-Shot Learning
Dongyao Jiang, Hui Chen, Haodong Jing et al.
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation
Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
Yue Niu, Ramy E. Ali, Saurav Prakash et al.
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition
Luoyang Lin, Zutao Jiang, Xiaodan Liang et al.
Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement
Kun Zhou, Xinyu Lin, Wenbo Li et al.
Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation
Sangyeop Yeo, Yoojin Jang, Jaejun Yoo
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
WENCAN CHENG, Eun-Ji Kim, Jong Hwan Ko
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
Cheng Gong, Yao Chen, Qiuyang Luo et al.
Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving
Jiehui Wu, Jiansheng Chen, Qifeng Luo et al.
Affine steerers for structured keypoint description
Georg Bökman, Johan Edstedt, Michael Felsberg et al.
Non-transferable Pruning
Ruyi Ding, Lili Su, A. Adam Ding et al.
Reconstruction-free Cascaded Adaptive Compressive Sensing
Chenxi Qiu, Tao Yue, Xuemei Hu
Shadow Cones: A Generalized Framework for Partial Order Embeddings
Tao Yu, Toni Liu, Albert Tseng et al.
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent
Jiahuan Wang, Hong Chen
Spatially-Variant Degradation Model for Dataset-free Super-resolution
ShaoJie Guo, Haofei Song, Qingli Li et al.
Monte Carlo Tree Search in the Presence of Transition Uncertainty
Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang et al.
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
Chongjie Si, Xuehui Wang, Xiaokang Yang et al.
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
Cheeun Hong, Kyoung Mu Lee
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients
Aoran Wang, Jun Pang
Uncertainty Visualization via Low-Dimensional Posterior Projections
Omer Yair, Tomer Michaeli, Elias Nehme
CliffPhys: Camera-based Respiratory Measurement using Clifford Neural Networks
Omar Ghezzi, Giuseppe Boccignone, Giuliano Grossi et al.
VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking
Jens Hellekes, Manuel Mühlhaus, Reza Bahmanyar et al.
SCOD: From Heuristics to Theory
Vojtech Franc, Jakub Paplham, Daniel Prusa
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee et al.
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition
13319 Bingjun Luo, Zewen Wang, Jinpeng Wang et al.