Most Cited 2024 "inter-layer parallelism" Papers
12,324 papers found • Page 60 of 62
Conference
Spatial-Aware Regression for Keypoint Localization
Dongkai Wang, Shiliang Zhang
On Statistical Learning Theory for Distributional Inputs
Christian Fiedler, Pierre-François Massiani, Friedrich Solowjow et al.
Shadow-Enlightened Image Outpainting
Hang Yu, Ruilin Li, Shaorong Xie et al.
Towards Realistic Model Selection for Semi-supervised Learning
Muyang Li, Xiaobo Xia, Runze Wu et al.
Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
Bin Yang, Jun Chen, Mang Ye
Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation
Rahul Singh, Akshay Mete, Avik Kar et al.
Linearly Controllable GAN: Unsupervised Feature Categorization and Decomposition for Image Generation and Manipulation
Sehyung Lee, Mijung Kim, Yeongnam Chae et al.
A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation
Yosra MARNISSI, Maxime Leiber
Non-parametric Online Change Point Detection on Riemannian Manifolds
Xiuheng Wang, Ricardo Borsoi, Cédric Richard
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
Álvaro Labarca Silva, Denis Parra, Rodrigo A Toro Icarte
DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation
Chenfeng Miao, Qingying Zhu, Chen Minchuan et al.
On Online Experimentation without Device Identifiers
Shiv Shankar, Ritwik Sinha, Madalina Fiterau
WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification
Satish Kumar, Bowen Zhang, Chandrakanth Gudavalli et al.
Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models
Samar Fares, Karthik Nandakumar
Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation
Kui Zhang, Hang Zhou, Jie Zhang et al.
D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval
Yi Xie, Yihong Lin, Wenjie Cai et al.
LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes
Yanwen Guo, Yuanqi Li, Dayong Ren et al.
MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning
Ahmed Agiza, Marina Neseem, Sherief Reda
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection
Haonan Zhang, Longjun Liu, Yuqi Huang et al.
GPTSwarm: Language Agents as Optimizable Graphs
Mingchen Zhuge, Wenyi Wang, Louis Kirsch et al.
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
Lanyun Zhu, Tianrun Chen, Jianxiong Yin et al.
See Say and Segment: Teaching LMMs to Overcome False Premises
Tsung-Han Wu, Giscard Biamby, David Chan et al.
SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras
Yuan Gao, Yuqing Zhu, Xinjun Li et al.
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
Sicong Shen, Yang Zhou, Bingzheng Wei et al.
Logistic Variational Bayes Revisited
Michael Komodromos, Marina Evangelou, Sarah Filippi
PaReNeRF: Toward Fast Large-scale Dynamic NeRF with Patch-based Reference
Xiao Tang, Min Yang, Penghui Sun et al.
Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers
Yuxing Liu, Lesi Chen, Luo Luo
PostureHMR: Posture Transformation for 3D Human Mesh Recovery
Yu-Pei Song, Xiao WU, Zhaoquan Yuan et al.
Dr. Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering
Yichen Sheng, Zixun Yu, Lu Ling et al.
Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition
Yuchen Zhou, Linkai Liu, Chao Gou
Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection
Abhinab Acharya, Dayou Yu, Qi Yu et al.
MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory
Juwon Kang, Nayeong Kim, Jungseul Ok et al.
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
Luca Masserano, Alexander Shen, Michele Doro et al.
Super-Resolution Reconstruction from Bayer-Pattern Spike Streams
Yanchen Dong, Ruiqin Xiong, Jian Zhang et al.
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs
Lin Song, Yukang Chen, Shuai Yang et al.
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network
Aihua Mao, Biao Yan, Zijing Ma et al.
High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs
Ruikang Xu, Mingde Yao, Yue Li et al.
SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images
Jintu Zheng, Yi Ding, Qizhe Liu et al.
Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks
Asterios Tsiourvas, Georgia Perakis
PAGER: Accurate Failure Characterization in Deep Regression Models
Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Puja Trivedi et al.
Causal Inference out of Control: Estimating Performativity without Treatment Randomization
Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner
EventPS: Real-Time Photometric Stereo Using an Event Camera
Bohan Yu, Jieji Ren, Jin Han et al.
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training
Di Ming, Peng Ren, Yunlong Wang et al.
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning
Hao Xiong, Yehui Tang, Xinyu Ye et al.
PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
Xinqiao Zhao, Ziqian Yang, Tianhong Dai et al.
From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation
Yiwei Bao, Feng Lu
3DSA:Multi-View 3D Human Pose Estimation With 3D Space Attention Mechanisms
Po Han Chen, Chia-Chi Tsai
Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
Yilong Wang, Haishan Ye, Guang Dai et al.
Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification
Jay Gala, Pengtao Xie
Data-free Neural Representation Compression with Riemannian Neural Dynamics
Zhengqi Pei, Anran Zhang, Shuhui Wang et al.
Gaze Target Detection Based on Head-Local-Global Coordination
Yaokun Yang, Feng Lu
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications
Karren Yang, Anurag Ranjan, Jen-Hao Rick Chang et al.
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
Yuwen Tan, Qinhao Zhou, Xiang Xiang et al.
Logarithmic Lenses: Exploring Log RGB Data for Image Classification
Bruce Maxwell, Sumegha Singhania, Avnish Patel et al.
Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation
Jiafan Zhuang, Zilei Wang, Yixin Zhang et al.
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
Ziqin Zhou, Hai-Ming Xu, Yangyang Shu et al.
Capturing Closely Interacted Two-Person Motions with Reaction Priors
Qi Fang, Yinghui Fan, Yanjun Li et al.
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
Xin Fan, Xiaolin Wang, Jiaxin Gao et al.
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
Mark Hamilton, Andrew Zisserman, John Hershey et al.
Learning Visual Prompt for Gait Recognition
Kang Ma, Ying Fu, Chunshui Cao et al.
PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar Coordinates
Ruoqi Wang, Zhuoyang Chen, Jiayi Zhu et al.
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular Video
Dong Wu, Zike Yan, Hongbin Zha
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space
Naveen Kumar Kummari, Reshmi Mitra, Krishna Mohan Chalavadi
Learning Large-Factor EM Image Super-Resolution with Generative Priors
Jiateng Shou, Zeyu Xiao, Shiyu Deng et al.
Learning for Transductive Threshold Calibration in Open-World Recognition
Qin ZHANG, DONGSHENG An, Tianjun Xiao et al.
GiLOT: Interpreting Generative Language Models via Optimal Transport
Xuhong Li, Jiamin Chen, Yekun Chai et al.
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection
Qiming Xia, Wei Ye, Hai Wu et al.
Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling
Ziwen Li, Feng Zhang, Meng Cao et al.
Policy Evaluation for Variance in Average Reward Reinforcement Learning
Shubhada Agrawal, Prashanth L.A., Siva Maguluri
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
Junyi Yao, Yijiang Liu, Zhen Dong et al.
Video Harmonization with Triplet Spatio-Temporal Variation Patterns
Zonghui Guo, XinYu Han, Jie Zhang et al.
Practical Measurements of Translucent Materials with Inter-Pixel Translucency Prior
Zhenyu Chen, Jie Guo, Shuichang Lai et al.
View-Category Interactive Sharing Transformer for Incomplete Multi-View Multi-Label Learning
Shilong Ou, Zhe Xue, Yawen Li et al.
TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection
Jan Skvrna, Lukas Neumann
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
Xu Yang, Xuan chen, Moqi Li et al.
CAMixerSR: Only Details Need More "Attention"
Yan Wang, Yi Liu, Shijie Zhao et al.
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures
Lisa Mais, Peter Hirsch, Claire Managan et al.
RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
Huayu Mai, Rui Sun, Tianzhu Zhang et al.
CoDe: An Explicit Content Decoupling Framework for Image Restoration
Enxuan Gu, Hongwei Ge, Yong Guo
VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources
Fan Fei, Jiajun Tang, Ping Tan et al.
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence
Hongyuan Wang, Lizhi Wang, Jiang Xu et al.
Revisiting Counterfactual Problems in Referring Expression Comprehension
Zhihan Yu, Ruifan Li
Noisy One-point Homographies are Surprisingly Good
Yaqing Ding, Jonathan Astermark, Magnus Oskarsson et al.
High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding
Qi Zuo, Xiaodong Gu, Yuan Dong et al.
SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild
Pengfei Wang, Xiaofei Hui, Jing Wu et al.
D^4: Dataset Distillation via Disentangled Diffusion Model
Duo Su, Junjie Hou, Weizhi Gao et al.
An Explicit Frame Construction for Normalizing 3D Point Clouds
Justin Baker, Shih-Hsin Wang, Tommaso de Fernex et al.
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam et al.
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving
Mozhgan Pourkeshavarz, Junrui Zhang, Amir Rasouli
ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion
Juncheng Mu, Lin Bie, Shaoyi Du et al.
LASO: Language-guided Affordance Segmentation on 3D Object
Yicong Li, Na Zhao, Junbin Xiao et al.
Enhancing Post-training Quantization Calibration through Contrastive Learning
Yuzhang Shang, Gaowen Liu, Ramana Kompella et al.
QUADify: Extracting Meshes with Pixel-level Details and Materials from Images
Maximilian Frühauf, Hayko Riemenschneider, Markus Gross et al.
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
Feng Liu, Minchul Kim, Zhiyuan Ren et al.
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks
Kai Han, Yunhe Wang, Jianyuan Guo et al.
Coresets for Multiple $\ell_p$ Regression
David Woodruff, Taisuke Yasuda
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods
Mengyu Dai, Amir Hossein Raffiee, Aashish Jain et al.
Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction
Sarah Friday, Yunzi Shi, Yaswanth Kumar Cherivirala et al.
Model-Free Robust $\phi$-Divergence Reinforcement Learning Using Both Offline and Online Data
Kishan Panaganti, Adam Wierman, Eric Mazumdar
Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
Xu Zheng, Pengyuan Zhou, ATHANASIOS et al.
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion
Sofia Casarin, Cynthia Ugwu, Sergio Escalera et al.
How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective
Keyan Miao, Konstantinos Gatsis
3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views
Kennard Yanting Chan, Fayao Liu, Guosheng Lin et al.
Pixel-Aligned Language Model
Jiarui Xu, Xingyi Zhou, Shen Yan et al.
Kernel Adaptive Convolution for Scene Text Detection via Distance Map Prediction
Jinzhi Zheng, Heng Fan, Libo Zhang
DiffLoc: Diffusion Model for Outdoor LiDAR Localization
Wen Li, Yuyang Yang, Shangshu Yu et al.
Editing Partially Observable Networks via Graph Diffusion Models
Puja Trivedi, Ryan A Rossi, David Arbour et al.
Meta Evidential Transformer for Few-Shot Open-Set Recognition
Hitesh Sapkota, Krishna Neupane, Qi Yu
Neural Exposure Fusion for High-Dynamic Range Object Detection
Emmanuel Onzon, Maximilian Bömer, Fahim Mannan et al.
Validating Privacy-Preserving Face Recognition under a Minimum Assumption
Hui Zhang, Xingbo Dong, YenLungLai et al.
Vector Graphics Generation via Mutually Impulsed Dual-domain Diffusion
Zhongyin Zhao, Ye Chen, Zhangli Hu et al.
IDGuard: Robust General Identity-centric POI Proactive Defense Against Face Editing Abuse
Yunshu Dai, Jianwei Fei, Fangjun Huang
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
Edwin Zhang, Sadie Zhao, Tonghan Wang et al.
Prompt-Driven Referring Image Segmentation with Instance Contrasting
Chao Shang, Zichen Song, Heqian Qiu et al.
Physics and Lie symmetry informed Gaussian processes
David Dalton, Dirk Husmeier, Hao Gao
PreLAR: World Model Pre-training with Learnable Action Representation
Lixuan Zhang, Meina Kan, Shiguang Shan et al.
Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction
Ruixuan Yu, Jian Sun
Cell2Sentence: Teaching Large Language Models the Language of Biology
Daniel Levine, Syed Rizvi, Sacha Lévy et al.
The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks
Songhua He, Periklis Papakonstantinou
Augmenting Decision with Hypothesis in Reinforcement Learning
Nguyen Minh Quang, Hady Lauw
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing
Ling Lo, Cheng Yeo, Hong-Han Shuai et al.
Self-Calibrating Vicinal Risk Minimisation for Model Calibration
Jiawei Liu, Changkun Ye, Ruikai Cui et al.
Compositional Video Understanding with Spatiotemporal Structure-based Transformers
Hoyeoung Yun, Jinwoo Ahn, Minseo Kim et al.
CORE-MPI: Consistency Object Removal with Embedding MultiPlane Image
Donggeun Yoon, Donghyeon Cho
G2fR: Frequency Regularization in Grid-based Feature Encoding Neural Radiance Fields
Shuxiang Xie, Shuyi Zhou, Ken Sakurada et al.
Person in Place: Generating Associative Skeleton-Guidance Maps for Human-Object Interaction Image Editing
ChangHee Yang, ChanHee Kang, Kyeongbo Kong et al.
Estimating Extreme 3D Image Rotations using Cascaded Attention
Shay Dekel, Yosi Keller, Martin Čadík
Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model
Wenfeng Song, Xingliang Jin, Shuai Li et al.
ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring
Yuan Xu, Xiaoxuan Ma, Jiajun Su et al.
Contrastive Predict-and-Search for Mixed Integer Linear Programs
Taoan Huang, Aaron Ferber, Arman Zharmagambetov et al.
Discovering Syntactic Interaction Clues for Human-Object Interaction Detection
Jinguo Luo, Weihong Ren, Weibo Jiang et al.
RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control
xiang deng, Zerong Zheng, Yuxiang Zhang et al.
AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
Li Ding, Wen Fei, Yuyang Huang et al.
Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection
Ke Li, Di Wang, Zhangyuan Hu et al.
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation
Haifeng Xia, Siyu Xia, Zhengming Ding
From Coarse to Fine-Grained Open-Set Recognition
Nico Lang, Vésteinn Snæbjarnarson, Elijah Cole et al.
Neighbor Relations Matter in Video Scene Detection
Jiawei Tan, Hongxing Wang, Jiaxin Li et al.
Referring Image Editing: Object-level Image Editing via Referring Expressions
Chang Liu, Xiangtai Li, Henghui Ding
Unsupervised Blind Image Deblurring Based on Self-Enhancement
Lufei Chen, Xiangpeng Tian, Shuhua Xiong et al.
Advancing Saliency Ranking with Human Fixations: Dataset Models and Benchmarks
Bowen Deng, Siyang Song, Andrew French et al.
The STVchrono Dataset: Towards Continuous Change Recognition in Time
Yanjun Sun, Yue Qiu, Mariia Khan et al.
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen et al.
XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images
CHONG YIN, Siqi Liu, Fei Lyu et al.
Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor Scenes
Xiaotian Sun, Qingshan Xu, Xinjie Yang et al.
Neural Fields as Distributions: Signal Processing Beyond Euclidean Space
Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi et al.
SignGraph: A Sign Sequence is Worth Graphs of Nodes
Shiwei Gan, Yafeng Yin, Zhiwei Jiang et al.
Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion
Zixian Gao, Xun Jiang, Xing Xu et al.
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction
Xi Wang, Xu Yang, Jie Yin et al.
Cocktail Universal Adversarial Attack on Deep Neural Networks
Shaoxin Li, Xiaofeng Liao, Xin Che et al.
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
Ching-Yun (Irene) Ko, Pin-Yu Chen, Payel Das et al.
Position: Data-driven Discovery with Large Generative Models
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal et al.
Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion
Jiangtong Tan, Jie Huang, Naishan Zheng et al.
FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding
Jinglin Xu, Guohao Zhao, Sibo Yin et al.
Just Add ?! Pose Induced Video Transformers for Understanding Activities of Daily Living
Dominick Reilly, Srijan Das
Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation
Shenshen Bu, Taiji Li, Zhiming Dai et al.
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning
Qiwei Li, Yuxin Peng, Jiahuan Zhou
CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation
Zineng Tang, Ziyi Yang, MAHMOUD KHADEMI et al.
Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes, Michael Dennis, Jack Parker-Holder et al.
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
Yi Zhang, Meng-Hao Guo, Miao Wang et al.
Unsupervised Salient Instance Detection
Xin Tian, Ke Xu, Rynson W.H. Lau
Rapid 3D Model Generation with Intuitive 3D Input
Tianrun Chen, Chaotao Ding, Shangzhan Zhang et al.
Towards CLIP-driven Language-free 3D Visual Grounding via 2D-3D Relational Enhancement and Consistency
Yuqi Zhang, Han Luo, Yinjie Lei
Improving Graph Contrastive Learning via Adaptive Positive Sampling
Jiaming Zhuo, Feiyang Qin, Can Cui et al.
An Interactive Navigation Method with Effect-oriented Affordance
Xiaohan Wang, Yuehu LIU, Xinhang Song et al.
MSU-4S - The Michigan State University Four Seasons Dataset
Daniel Kent, Mohammed Alyaqoub, Xiaohu Lu et al.
Position: A Safe Harbor for AI Evaluation and Red Teaming
Shayne Longpre, Sayash Kapoor, Kevin Klyman et al.
Evaluation of Trajectory Distribution Predictions with Energy Score
Novin Shahroudi, Mihkel Lepson, Meelis Kull
Position: Future Directions in the Theory of Graph Machine Learning
Christopher Morris, Fabrizio Frasca, Nadav Dym et al.
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
Chen Zhao, Shuming Liu, Karttikeya Mangalam et al.
ES³: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations
Yuanhang Zhang, Shuang Yang, Shiguang Shan et al.
Free-Viewpoint Video of Outdoor Sports Using a Drone
Zhengdong Hong
RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation
Yi Rong, Haoran Zhou, Kang Xia et al.
Re-thinking Data Availability Attacks Against Deep Neural Networks
Bin Fang, Bo Li, Shuang Wu et al.
SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction
Zhiyang Yao, Shuyang Liu, Xiaoyun Yuan et al.
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
Jianyuan Wang, Nikita Karaev, Christian Rupprecht et al.
Blind image deblurring with noise-robust kernel estimation
Chanseok Lee, Jeongsol Kim, Seungmin Lee et al.
MuGE: Multiple Granularity Edge Detection
Caixia Zhou, Yaping Huang, Mengyang Pu et al.
EasyDrag: Efficient Point-based Manipulation on Diffusion Models
Xingzhong Hou, Boxiao Liu, Yi Zhang et al.
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
Jun-Peng Jiang, Han-Jia Ye, Leye Wang et al.
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
Shin', ya Yamaguchi, Sekitoshi Kanai et al.
No Double Descent in Principal Component Regression: A High-Dimensional Analysis
Daniel Gedon, Antonio Ribeiro, Thomas Schön
Dynamic Facility Location in High Dimensional Euclidean Spaces
Sayan Bhattacharya, Gramoz Goranci, Shaofeng Jiang et al.
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization
Xingyi Zhao, Depeng Xu, Shuhan Yuan
Rethinking the Flat Minima Searching in Federated Learning
Taehwan Lee, Sung Whan Yoon
LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping
Nikhil Gosala, Kürsat Petek, B Ravi Kiran et al.
Learned Lossless Image Compression based on Bit Plane Slicing
Zhe Zhang, Huairui Wang, Zhenzhong Chen et al.
AutoOS: Make Your OS More Powerful by Exploiting Large Language Models
Huilai Chen, Yuanbo Wen, Limin Cheng et al.
Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis
Yang Yu, Erting Pan, Xinya Wang et al.
Gradient-based Visual Explanation for Transformer-based CLIP
Chenyang ZHAO, Kun Wang, Xingyu Zeng et al.
Performance Bounds for Active Binary Testing with Information Maximization
Aditya Chattopadhyay, Benjamin Haeffele, Rene Vidal et al.
The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
Denis Bobkov, Vadim Titov, Aibek Alanov et al.
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
Yajie Bao, Michael Crawshaw, Mingrui Liu
Image Processing GNN: Breaking Rigidity in Super-Resolution
Yuchuan Tian, Hanting Chen, Chao Xu et al.
Multimodal Sense-Informed Forecasting of 3D Human Motions
Zhenyu Lou, Qiongjie Cui, Haofan Wang et al.
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
Jiaqi Zhang, Joel Jennings, Agrin Hilmkil et al.
Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings
Yakun Chang, Yeliduosi Xiaokaiti, Yujia Liu et al.
LAMP: Learn A Motion Pattern for Few-Shot Video Generation
Rui-Qi Wu, Liangyu Chen, Tong Yang et al.
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering
Suyuan Liu, KE LIANG, Zhibin Dong et al.
GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes
Haozhe Lin, Chunyu Wei, Li He et al.
Weakly Misalignment-free Adaptive Feature Alignment for UAVs-based Multimodal Object Detection
Chen Chen, Jiahao Qi, Xingyue Liu et al.