Most Cited 2024 "link prediction" Papers
12,324 papers found • Page 15 of 62
Conference
Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person Views
Ziwei Zhao, Yuchen Wang, Chuhua Wang
GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence
Pengyuan Wang, Takuya Ikeda, Robert Lee et al.
PiTe: Pixel-Temporal Alignment for Large Video-Language Model
Yang Liu, Pengxiang Ding, Siteng Huang et al.
TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light
Parsa Mirdehghan, Maxx Wu, Wenzheng Chen et al.
Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals
Camilo Fosco, Benjamin Lahner, Bowen Pan et al.
Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data
Yanmeng Yao, Xiaohan Zhao, Bin Gu
Equivariant Matrix Function Neural Networks
Ilyes Batatia, Lars Leon Schaaf, Gábor Csányi et al.
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing
Wonjun Kang, Kevin Galim, Hyung Il Koo
Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos
Sagnik Majumder, Ziad Al-Halah, Kristen Grauman
Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners
Chun Feng, Joy Hsu, Weiyu Liu et al.
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
Claudio Rota, Marco Buzzelli, Joost Van de Weijer
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
Diandian Guo, Deng-Ping Fan, Tongyu Lu et al.
T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy
Fan Duan, Jiahao Yu, Li Chen
C3Net: Compound Conditioned ControlNet for Multimodal Content Generation
Juntao Zhang, Yuehuai LIU, Yu-Wing Tai et al.
Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment
Chong Li, Xuelin Qian, Yun Wang et al.
AAMDM: Accelerated Auto-regressive Motion Diffusion Model
Tianyu Li, Calvin Zhuhan Qiao, Ren Guanqiao et al.
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation
Pengwei Yin, Jingjing Wang, Guanzhong Zeng et al.
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering
Guoxing Sun, Rishabh Dabral, Pascal Fua et al.
RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method
Ming Yan, Yan Zhang, Shuqiang Cai et al.
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication
Eric Slyman, Stefan Lee, Scott Cohen et al.
Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores
Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania et al.
ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model
Fu-Yun Wang, Zhaoyang Huang, Qiang Ma et al.
Motion Diversification Networks
Hee Jae Kim, Eshed Ohn-Bar
Hierarchical Correlation Clustering and Tree Preserving Embedding
Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
Certifiably Robust Image Watermark
Zhengyuan Jiang, Moyang Guo, Yuepeng Hu et al.
VIXEN: Visual Text Comparison Network for Image Difference Captioning
Alexander Black, Jing Shi, Yifei Fan et al.
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
Wenlong Liu, Tianyu Yang, Yuhan Wang et al.
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
Yingtao Zhang, Jialin Zhao, Wenjing Wu et al.
REGLO: Provable Neural Network Repair for Global Robustness Properties
Feisi Fu, Zhilu Wang, Weichao Zhou et al.
One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception
Bohan Li, Yasheng Sun, Jingxin Dong et al.
Self-supervised visual learning from interactions with objects
Arthur Aubret, Céline Teulière, Jochen Triesch
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
Zizhao Wang, Caroline Wang, Xuesu Xiao et al.
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
Rui Song, Fausto Giunchiglia, Yingji Li et al.
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
Bowen Shi, XIAOPENG ZHANG, Yaoming Wang et al.
Take A Step Back: Rethinking the Two Stages in Visual Reasoning
Mingyu Zhang, Jiting Cai, Mingyu Liu et al.
Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB
Shengheng Liu, Xingkang Li, Zihuan Mao et al.
Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
Zhenzhong Kuang, Xiaochen Yang, Yingjie Shen et al.
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
Shuai Yuan, Lei Luo, Zhuo Hui et al.
Context Enhanced Transformer for Single Image Object Detection in Video Data
Seungjun An, Seonghoon Park, Gyeongnyeon Kim et al.
Neural structure learning with stochastic differential equations
Benjie Wang, Joel Jennings, Wenbo Gong
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu et al.
HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos
Lixin Xue, Chen Guo, Chengwei Zheng et al.
LDReg: Local Dimensionality Regularized Self-Supervised Learning
Hanxun Huang, Ricardo Campello, Sarah Erfani et al.
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Peiyan Zhang, Haoyang Liu, Chaozhuo Li et al.
Link Prediction in Multilayer Networks via Cross-Network Embedding
Guojing Ren, Xiao Ding, Xiao-Ke Xu et al.
DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models
Yitian Liu, Zhouhui Lian
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Kangkang Lu, Yanhua Yu, Hao Fei et al.
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields
Fangyin Wei, Hanlin Chen, Gim Hee Lee
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
Hantao Yang, Xutong Liu, Zhiyong Wang et al.
Learning Visual Abstract Reasoning through Dual-Stream Networks
Kai Zhao, Chang Xu, Bailu Si
ActionVOS: Actions as Prompts for Video Object Segmentation
LIANGYANG OUYANG, Ruicong Liu, Yifei Huang et al.
Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis
Francesco Kriegel
ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision
Ke Xu, Tsun Wai Siu, Rynson W.H. Lau
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception
Xiaosu Zhu, Hualian Sheng, Sijia Cai et al.
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition
Mengmeng Wang, Jiazheng Xing, Boyuan Jiang et al.
Comprehensive View Embedding Learning for Single-Cell Multimodal Integration
Zhenchao Tang, Jiehui Huang, Guanxing Chen et al.
PQ-SAM: Post-training Quantization for Segment Anything Model
Xiaoyu Liu, Xin Ding, Lei Yu et al.
Axiomatic Aggregations of Abductive Explanations
Gagan Biradar, Yacine Izza, Elita Lobo et al.
CountFormer: Multi-View Crowd Counting Transformer
Hong Mo, Xiong Zhang, Jianchao Tan et al.
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang et al.
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting
Qi Wang, Ruijie Lu, Xudong XU et al.
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
Xiaojie Li, Yibo Yang, Xiangtai Li et al.
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
Chengen Lai, Shengli Song, Shiqi Meng et al.
GLDL: Graph Label Distribution Learning
Yufei Jin, Richard Gao, Yi He et al.
ProMotion: Prototypes As Motion Learners
Yawen Lu, Dongfang Liu, Qifan Wang et al.
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
Sanghyun Kim, Seohyeon Jung, Balhae Kim et al.
Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner
Mengfei Xia, Yujun Shen, Changsong Lei et al.
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning
Ancong Wu, Wei-shi Zheng
Intrinsic Single-Image HDR Reconstruction
Sebastian Dille, Chris Careaga, Yagiz Aksoy
Making Visual Sense of Oracle Bones for You and Me
Runqi Qiao, LAN YANG, Kaiyue Pang et al.
Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning
Hongxu Chen, Quan Zhang, Jian-Huang Lai et al.
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
Youngjae Cho, HeeSun Bae, Seungjae Shin et al.
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
Qiyu Kang, Kai Zhao, Yang Song et al.
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
Xinghao Wang, Junliang He, Pengyu Wang et al.
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI
Sean I. Young, Yaël Balbastre, Bruce Fischl et al.
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis
Esteve Valls Mascaro, Hyemin Ahn, Dongheui Lee
Learning Robust Rationales for Model Explainability: A Guidance-Based Approach
Shuaibo Hu, Kui Yu
A Primal-Dual Algorithm for Hybrid Federated Learning
Tom Overman, Garrett Blum, Diego Klabjan
Quantized Prompt for Efficient Generalization of Vision-Language Models
Tianxiang Hao, Xiaohan Ding, Juexiao Feng et al.
Bilateral Event Mining and Complementary for Event Stream Super-Resolution
Zhilin Huang, Quanmin Liang, Yijie Yu et al.
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
Shuai Guo, Qiuwen Wang, Yijie Gao et al.
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Xiangyu Liu, Souradip Chakraborty, Yanchao Sun et al.
TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields
Tianyu Huang, Yihan Zeng, Bowen Dong et al.
DIUSum: Dynamic Image Utilization for Multimodal Summarization
Min Xiao, Junnan Zhu, Feifei Zhai et al.
Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes
Ziqian Bai, Feitong Tan, Sean Fanello et al.
CityGuessr: City-Level Video Geo-Localization on a Global Scale
Parth Parag Kulkarni, Gaurav Kumar Nayak, Shah Mubarak
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera
Chengxu Liu, Xuan Wang, Yuanting Fan et al.
Unlocking the Power of Representations in Long-term Novelty-based Exploration
Alaa Saade, Steven Kapturowski, Daniele Calandriello et al.
Linear Log-Normal Attention with Unbiased Concentration
Yury Nahshan, Joseph Kampeas, Emir Haleva
Poly-View Contrastive Learning
Amitis Shidani, R Devon Hjelm, Jason Ramapuram et al.
GenRC: Generative 3D Room Completion from Sparse Image Collections
Ming-Feng Li, Yueh-Feng Ku, Hong-Xuan Yen et al.
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
Hancheng Ye, Chong Yu, Peng Ye et al.
A Unified and Interpretable Emotion Representation and Expression Generation
Reni Paskaleva, Mykyta Holubakha, Andela Ilic et al.
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning
Bang Yang, Yong Dai, Xuxin Cheng et al.
High-Fidelity Diffusion-Based Image Editing
Chen Hou, Guoqiang Wei, Zhibo Chen
Live and Learn: Continual Action Clustering with Incremental Views
Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao et al.
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation
Shoumeng Qiu, Jie Chen, Xinrun Li et al.
Layer-Wise Relevance Propagation with Conservation Property for ResNet
Seitaro Otsuki, Tsumugi Iida, Félix Doublet et al.
Statewide Visual Geolocalization in the Wild
Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner et al.
Semantics-aware Motion Retargeting with Vision-Language Models
Haodong Zhang, ZhiKe Chen, Haocheng Xu et al.
Bellman Optimal Stepsize Straightening of Flow-Matching Models
Bao Nguyen, Binh Nguyen, Viet Anh Nguyen
Quality Assured: Rethinking Annotation Strategies in Imaging AI
Tim Rädsch, Annika Reinke, Vivienn Weru et al.
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos
Shankhanil Mitra, Rajiv Soundararajan
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images
Ruohua Shi, Lingyu Duan, Tiejun Huang et al.
High-Quality Facial Geometry and Appearance Capture at Home
Yuxuan Han, Junfeng Lyu, Feng Xu
Relation Rectification in Diffusion Model
Yinwei Wu, Xingyi Yang, Xinchao Wang
Compress3D: a Compressed Latent Space for 3D Generation from a Single Image
Bowen Zhang, Tianyu Yang, Yu Li et al.
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation
Muer Tie, Julong Wei, Zhengjun Wang et al.
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
Jason Chun Lok Li, Steven Luo, Le Xu et al.
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation
Wei Cong, Yang Cong, Yuyang Liu et al.
CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
Qingguo Liu, Chenyi Zhuang, Pan Gao et al.
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Nirmit Joshi, Gal Vardi, Nathan Srebro
AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale
Keenon Werling, Janelle M Kaneda, Tian Tan et al.
Improved Active Learning via Dependent Leverage Score Sampling
Atsushi Shimizu, Xiaoou Cheng, Christopher Musco et al.
Adaptive Window Pruning for Efficient Local Motion Deblurring
Haoying Li, Jixin Zhao, Shangchen Zhou et al.
Learning Subject-Aware Cropping by Outpainting Professional Photos
James Hong, Lu Yuan, Michaël Gharbi et al.
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields
Xiufeng HUANG, Ka Chun Cheung, Simon See et al.
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation
Ruijie Xu, Chuyu Zhang, Hui Ren et al.
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation
Lorenzo Mur Labadia, Ruben Martinez-Cantin, Jose J Guerrero et al.
Learning Diffusion Models for Multi-View Anomaly Detection
Chieh Liu, Yu-Min Chu, Ting-I Hsieh et al.
DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction
Yuxin Yao, Siyu Ren, Junhui Hou et al.
Intrinsic Phase-Preserving Networks for Depth Super Resolution
Xuanhong Chen, Hang Wang, Jinfan Liu et al.
FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation
Xinzhi MU, Li Chen, Bohan CHEN et al.
PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines
Zidong Wang, Zeyu Lu, Di Huang et al.
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
Anay Majee, Ryan X Sharp, Rishabh Iyer
Understanding Expressivity of GNN in Rule Learning
Haiquan Qiu, Yongqi Zhang, Yong Li et al.
Clockwork Diffusion: Efficient Generation With Model-Step Distillation
Amirhossein Habibian, Amir Ghodrati, Noor Fathima et al.
Taming Lookup Tables for Efficient Image Retouching
Sidi Yang, Binxiao Huang, Mingdeng Cao et al.
EraseDraw : Learning to Insert Objects by Erasing Them from Images
Alper Canberk, Maksym Bondarenko, Ege Ozguroglu et al.
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
Ripon Saha, Dehao Qin, Nianyi Li et al.
PointPatchMix: Point Cloud Mixing with Patch Scoring
Yi Wang, Jiaze Wang, Jinpeng Li et al.
Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets
Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra et al.
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
Wenze Chen, Shiyu Huang, Yuan Chiang et al.
Toward Tiny and High-quality Facial Makeup with Data Amplify Learning
Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin et al.
TriNeRFLet: A Wavelet Based Triplane NeRF Representation
Rajaei Khatib, RAJA GIRYES
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
Xiaopei Wu, Liang Peng, Liang Xie et al.
Memory-Scalable and Simplified Functional Map Learning
Robin Magnet, Maks Ovsjanikov
MinD-3D: Reconstruct High-quality 3D objects in Human Brain
Jianxiong Gao, Yuqian Fu, Yun Wang et al.
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion
Runsong Zhu, Shi Qiu, Qianyi Wu et al.
Hyperion – A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM
David Hug, Ignacio Alzugaray Lopez, Margarita Chli
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
Avery Ma, Yangchen Pan, Amir-massoud Farahmand
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
Yangyang Guo, Guangzhi Wang, Mohan Kankanhalli
Uncertainty-aware Graph-based Hyperspectral Image Classification
Linlin Yu, Yifei Lou, Feng Chen
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran et al.
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
Yunfan Lu, Guoqiang Liang, Yusheng Wang et al.
COMO: Compact Mapping and Odometry
Eric Dexheimer, Andrew Davison
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection
Zheng Jiang, Jinqing Zhang, Yanan Zhang et al.
Neural Auto-designer for Enhanced Quantum Kernels
Cong Lei, Yuxuan Du, Peng Mi et al.
General Point Model Pretraining with Autoencoding and Autoregressive
Zhe Li, Zhangyang Gao, Cheng Tan et al.
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
Xiao Li, Yining Liu, Na Dong et al.
Event-based Structure-from-Orbit
Ethan Elms, Yasir Latif, Tae Ha Park et al.
Time-Efficient Light-Field Acquisition Using Coded Aperture and Events
Shuji Habuchi, Keita Takahashi, Chihiro Tsutake et al.
StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
Yining Shi, Kun JIANG, Ke Wang et al.
Cross Initialization for Face Personalization of Text-to-Image Models
Lianyu Pang, Jian Yin, Haoran Xie et al.
Rethinking Image-to-Video Adaptation: An Object-centric Perspective
Rui Qian, Shuangrui Ding, Dahua Lin
ConDense: Consistent 2D-3D Pre-training for Dense and Sparse Features from Multi-View Images
Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou et al.
FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN
Riccardo Santambrogio, Marco Cannici, Matteo Matteucci
Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment
Simon Weber, Je Hyeong Hong, Daniel Cremers
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
Zhaoxin Wang, Handing Wang, Cong Tian et al.
Camera Calibration using a Collimator System
Shunkun Liang, Banglei Guan, Zhenbao Yu et al.
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering
Benjamin Attal, Dor Verbin, Ben Mildenhall et al.
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
Junjie Chen, Jiebin Yan, Yuming Fang et al.
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception
Shaohong Wang, Lu Bin, Xinyu Xiao et al.
Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation
Jinpeng Liu, Wenxun Dai, Chunyu Wang et al.
Self-Supervised Representation Learning for Adversarial Attack Detection
Yi Li, Plamen Angelov, Neeraj Suri
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Jeff Guo, Philippe Schwaller
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
Xunjiang Gu, Guanyu Song, Igor Gilitschenski et al.
Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images
Zhangjin Huang, Zhihao Liang, Kui Jia
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
Suyeon Kim, Dongha Lee, SeongKu Kang et al.
Task-Aware Encoder Control for Deep Video Compression
Xingtong Ge, Jixiang Luo, XINJIE ZHANG et al.
Snuffy: Efficient Whole Slide Image Classifier
Hossein Jafarinia, Alireza Alipanah, Saeed Razavi et al.
Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable
En-Hui Yang, Linfeng Ye
Relational Matching for Weakly Semi-Supervised Oriented Object Detection
Wenhao Wu, Hau San Wong, Si Wu et al.
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
Vitali Petsiuk, Kate Saenko
Towards Scene Graph Anticipation
Rohith Peddi, Saksham Singh, Saurabh . et al.
Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence
Yutong Chen, Yifan Zhan, Zhihang Zhong et al.
In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
Yiran Xu, Zhixin Shu, Cameron Smith et al.
Memory-Efficient Fine-Tuning for Quantized Diffusion Model
Hyogon Ryu, Seohyun Lim, Hyunjung Shim
Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
Dong Zhao, Shuang Wang, Qi Zang et al.
Diffusion-FOF: Single-View Clothed Human Reconstruction via Diffusion-Based Fourier Occupancy Field
Yuanzhen Li, Fei LUO, Chunxia Xiao
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu, Jiang-Tian Zhai, Andrew Bagdanov et al.
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
Qichen Zheng, Yi Yu, SIYUAN YANG et al.
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao et al.
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets
Qin Lei, Jiang Zhong, Qizhu Dai
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
Tim Salzmann, Markus Ryll, Alex Bewley et al.
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
Yasar Utku Alcalar, Mehmet Akcakaya
Zero-Shot Image Feature Consensus with Deep Functional Maps
Xinle Cheng, Congyue Deng, Adam Harley et al.
Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation
Xiaoyu Liu, Miaomiao Cai, Yinda Chen et al.
Clustering for Protein Representation Learning
Ruijie Quan, Wenguan Wang, Fan Ma et al.
Prompting Future Driven Diffusion Model for Hand Motion Prediction
Bowen Tang, Kaihao Zhang, Wenhan Luo et al.
Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search
Haosen SUN, Lujun Li, Peijie Dong et al.
SLIM: Spuriousness Mitigation with Minimal Human Annotations
Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin et al.
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement
Tatiana Gaintseva, Martin Benning, Greg Slabaugh
D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On
Zhaotong Yang, Zicheng Jiang, Xinzhe Li et al.
AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
Jamie Watson, Filippo Aleotti, Mohamed Sayed et al.
Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer
Xueyi Liu, Kangbo Lyu, jieqiong zhang et al.
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling
Jie Ruan, Xiao Pu, Mingqi Gao et al.
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions
Yunxiao Shi, Manish Singh, Hong Cai et al.