Most Cited 2024 "uniform concentration bound" Papers
12,324 papers found • Page 19 of 62
Conference
Pix2Gif: Motion-Guided Diffusion for GIF Generation
Hitesh Kandala, Jianfeng Gao, Jianwei Yang
Adversarial Feature Map Pruning for Backdoor
Dong HUANG, Qingwen Bu
Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection
Yucheng Han, Na Zhao, Weiling Chen et al.
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
Changsheng Lu, Zheyuan Liu, Piotr Koniusz
Progressive Text-to-Image Diffusion with Soft Latent Direction
YuTeng Ye, Jiale Cai, Hang Zhou et al.
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
Yaniv Blumenfeld, Itay Hubara, Daniel Soudry
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning
Yanwen Ba, Xuan Liu, Xinning Chen et al.
Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection
Zhili Chen, Shuangjie Xu, Maosheng Ye et al.
YTCommentQA: Video Question Answerability in Instructional Videos
Saelyne Yang, Sunghyun Park, Yunseok Jang et al.
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Arpit Garg, Cuong Cao Nguyen, RAFAEL FELIX et al.
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin, Lennart Svensson, Fredrik Kahl et al.
A Fair Ranking and New Model for Panoptic Scene Graph Generation
Julian Lorenz, Alexander Pest, Daniel Kienzle et al.
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos
Florian Langer, Jihong Ju, Georgi Dikov et al.
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
Dexu Kong, Anping Zhang, Yang Li
Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion
Quoc-Huy Tran, Muhammad Ahmed, Murad Popattia et al.
Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning
Zhengyi Fang, Yue Wang, Ran Yi et al.
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild
Donggyun Kim, Seongwoong Cho, Semin Kim et al.
Fast and unified path gradient estimators for normalizing flows
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter et al.
OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection
Dongkwon Jin, Chang-Su Kim
Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations
Zilin Wang, Haolin Zhuang, Lu Li et al.
Neural Metamorphosis
Xingyi Yang, Xinchao Wang
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model
Huaijin Wu, Wei Liu, Yatao Bian et al.
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
Jeffrey Wen, Rizwan Ahmad, Phillip Schniter
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
Alind Khare, Animesh Agrawal, Aditya Annavajjala et al.
General Geometry-aware Weakly Supervised 3D Object Detection
Guowen Zhang, Junsong Fan, Liyi Chen et al.
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
Zhanwei Zhang, Minghao Chen, Shuai Xiao et al.
EgoBody3M: Egocentric Body Tracking on a VR Headset using a Diverse Dataset
Amy Zhao, Chengcheng Tang, Lezi Wang et al.
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models
Yang Liu
RPBG: Towards Robust Neural Point-based Graphics in the Wild
Qingtian Zhu, Zizhuang Wei, Zhongtian Zheng et al.
Learning Discrete-Time Major-Minor Mean Field Games
Kai Cui, Gökçe Dayanıklı, Mathieu Laurière et al.
HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization
Sakib Reza, Yuexi Zhang, Mohsen Moghaddam et al.
The Effective Horizon Explains Deep RL Performance in Stochastic Environments
Cassidy Laidlaw, Banghua Zhu, Stuart Russell et al.
Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning
Sanjoy Kundu, Shubham Trehan, Sathyanarayanan Aakur
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation
Chang Liu, Giulia Rizzoli, Pietro Zanuttigh et al.
Bucketed Ranking-based Losses for Efficient Training of Object Detectors
Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan et al.
Reliable Data Generation and Selection for Low-Resource Relation Extraction
Junjie Yu, Xing Wang, Wenliang Chen
Novel Class Discovery in Chest X-rays via Paired Images and Text
Jiaying Zhou, Yang Liu, Qingchao Chen
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks
JINGYANG XIANG, Zuohui Chen, Siqi Li et al.
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
Yu Zhang, Yunyi Zhang, Yanzhen Shen et al.
Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization
Jooyeol Yun, Choo Jaegul
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda, Bahram Zonooz, Elahe Arani
Compact HD Map Construction via Douglas-Peucker Point Transformer
Ruixin Liu, Zejian Yuan
Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements
Niccolò Biondi, Federico Pernici, Simone Ricci et al.
Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction
Rui Peng, Shihe Shen, Kaiqiang Xiong et al.
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera
Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.
RaFE: Generative Radiance Fields Restoration
Zhongkai Wu, Ziyu Wan, Jing Zhang et al.
Building Variable-Sized Models via Learngene Pool
Boyu Shi, Shiyu Xia, Xu Yang et al.
Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis
Tianci Bi, Xiaoyi Zhang, Zhizheng Zhang et al.
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
Jihai Zhang, Xiang Lan, Xiaoye Qu et al.
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
Jiankang Chen, Tong Zhang, Wei-shi Zheng et al.
Event-based Mosaicing Bundle Adjustment
Shuang Guo, Guillermo Gallego
DATENeRF: Depth-Aware Text-based Editing of NeRFs
Sara Rojas Martinez, Julien Philip, Kai Zhang et al.
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
Xinyu Yang, Hossein Rahmani, Sue Black et al.
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks
Junlong Liao, Wenda Fu, Cong Wang et al.
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Gabriele Sarti, Grzegorz Chrupała, Malvina Nissim et al.
R^2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations
Xiang Li, Kai Qiu, Jinglu Wang et al.
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces
Linyi Jin, Nilesh Kulkarni, David Fouhey
Pre-trained Visual Dynamics Representations for Efficient Policy Learning
Hao Luo, Bohan Zhou, Zongqing Lu
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
Jeonghoon Park, Chaeyeon Chung, Jaegul Choo
Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering
Baixin Xu, Jiangbei Hu, Fei Hou et al.
Navigating Text-to-Image Generative Bias across Indic Languages
Surbhi Mittal, Arnav Sudan, MAYANK VATSA et al.
Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising
Guanting Dong, Yueyi Zhang, Xiaoyan Sun et al.
Non-parametric Sensor Noise Modeling and Synthesis
Ali Mosleh, Luxi Zhao, Atin Vikram Singh et al.
UniFS: Universal Few-shot Instance Perception with Point Representations
Sheng Jin, Ruijie Yao, Lumin Xu et al.
Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
zhe zhao, Mengshi Qi, Huadong Ma
Theoretical Understanding of Learning from Adversarial Perturbations
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
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.
MultiGen: Zero-shot Image Generation from Multi-modal Prompts
Zhi-Fan Wu, Lianghua Huang, Wei Wang et al.
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration
Xueyang Kang, Zhaoliang Luan, Kourosh Khoshelham et al.
SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers
Mingrui Zhao, Yizhi Wang, Fenggen Yu et al.
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging
Ping Wang, Yulun Zhang, Lishun Wang et al.
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
Boyu Fan, Chenrui Wu, Xiang Su et al.
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction
Mykhaylo Andriluka, Baruch Tabanpour, Daniel Freeman et al.
Pose Adapted Shape Learning for Large-Pose Face Reenactment
Gee-Sern Hsu, Jie-Ying Zhang, Yu-Hsiang Huang et al.
Learning to Remove Wrinkled Transparent Film with Polarized Prior
Jiaqi Tang, RUIZHENG WU, Xiaogang Xu et al.
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
Jiayi Guan, Li Shen, Ao Zhou et al.
Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective
Xingdi Chen, Yu Xiong, Kai YANG
MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models
Yangyu Wu, Xu Han, Wei Song et al.
Co-speech Gesture Video Generation with 3D Human Meshes
Aniruddha Mahapatra, Richa Mishra, Ziyi Chen et al.
Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning
Yuehui Han, Can Xu, Rui Xu et al.
GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds
Shengjun Zhang, Xin Fei, Yueqi Duan
12087 Limitations of Face Image Generation
Harrison Rosenberg, Shimaa Ahmed, Guruprasad Ramesh et al.
PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer
Wenting Cui, Runzhao Yao, Shaoyi Du
PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion
Guansong Lu, Yuanfan Guo, Jianhua Han et al.
A General Theoretical Framework for Learning Smallest Interpretable Models
Sebastian Ordyniak, Giacomo Paesani, Mateusz Banany et al.
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
Namitha Padmanabhan, Matthew A Gwilliam, Pulkit Kumar et al.
Online Continuous Generalized Category Discovery
Keon-Hee Park, Hakyung Lee, Kyungwoo Song et al.
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
Dihan Zheng, Yihang Zou, Xiaowen Zhang et al.
I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM
Gwangtak Bae, Changwoon Choi, Hyeongjun Heo et al.
Ray-Distance Volume Rendering for Neural Scene Reconstruction
Ruihong Yin, Yunlu Chen, Sezer Karaoglu et al.
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.
MA-Net: Rethinking Neural Unit in the Light of Astrocytes
Mengqiao Han, Liyuan Pan, Xiabi Liu
Dual-Camera Smooth Zoom on Mobile Phones
Renlong Wu, Zhilu Zhang, Yu Yang et al.
Locally Adaptive Neural 3D Morphable Models
Michail Tarasiou, Rolandos Alexandros Potamias, Eimear O' Sullivan et al.
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Bo Li, Wei Ye, Quansen Wang et al.
Learning Multimodal Latent Generative Models with Energy-Based Prior
Shiyu Yuan, Jiali Cui, Hanao Li et al.
Exploring Guided Sampling of Conditional GANs
Yifei Zhang, Mengfei Xia, Yujun Shen et al.
Towards Establishing Guaranteed Error for Learned Database Operations
Sepanta Zeighami, Cyrus Shahabi
Enhancing Multi-Label Classification via Dynamic Label-Order Learning
Jiangnan Li, Yice ZHANG, Shiwei Chen et al.
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction
Yansheng Li, Tingzhu Wang, Kang Wu et al.
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models
Nick Stracke, Stefan Andreas Baumann, Joshua Susskind et al.
Proxyformer: Nystrom-Based Linear Transformer with Trainable Proxy Tokens
SangHo Lee, Hayun Lee, Dongkun Shin
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
Fan Zhang, Xian-Sheng Hua, Chong Chen et al.
Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding
Sai Wang, Yutian Lin, Yu Wu
UMERegRobust – Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration
Yuval Haitman, Amit Efraim, Joseph Francos
Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion
Kehan Li, Yanbo Fan, Yang Wu et al.
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song, Tae Soo Kim, Junha Kim et al.
Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition
Satoshi Ikehata, Yuta Asano
Energy-Clibrated VAE with Test Time Free Lunch
Yihong Luo, Siya Qiu, Xingjian Tao et al.
No Head Left Behind – Multi-Head Alignment Distillation for Transformers
Tianyang Zhao, Kunwar Singh, Srikar Appalaraju et al.
Atom-Level Optical Chemical Structure Recognition with Limited Supervision
Martijn Oldenhof, Edward De Brouwer, Adam Arany et al.
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
Yun Liao, Junfan Li, Shizhong Liao et al.
FaceLift: Semi-supervised 3D Facial Landmark Localization
David Ferman, Pablo Garrido, Gaurav Bharaj
Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance
Kelvin C.K. Chan, Yang Zhao, Xuhui Jia et al.
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
9135 Yu Wang, Zexue He, Zhankui He et al.
Distilling Knowledge from Large-Scale Image Models for Object Detection
Gang Li, Wenhai Wang, Xiang Li et al.
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging
Miao Cao, Lishun Wang, Huan Wang et al.
Regularizing Dynamic Radiance Fields with Kinematic Fields
Woobin Im, Geonho Cha, Sebin Lee et al.
Gated Fields: Learning Scene Reconstruction from Gated Videos
Andrea Ramazzina, Stefanie Walz, Pragyan Dahal et al.
Semantic-Aware Data Augmentation for Text-to-Image Synthesis
Zhaorui Tan, Xi Yang, Kaizhu Huang
VPDETR: End-to-End Vanishing Point DEtection TRansformers
Taiyan Chen, Xianghua Ying, Jinfa Yang et al.
AugDETR: Improving Multi-scale Learning for Detection Transformer
Jinpeng Dong, Yutong Lin, Chen Li et al.
Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression
Dingyuan Zhang, Dingkang Liang, Zichang Tan et al.
Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection
Meng Xing, Zhiyong Feng, Yong Su et al.
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
Fei Kong, Jinhao Duan, Lichao Sun et al.
Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update
Uday Kamal, Saibal Mukhopadhyay
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
Qi Zhang, Yi Zhou, Ashley Prater-Bennette et al.
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman et al.
Sparse Variational Student-t Processes
Jian Xu, Delu Zeng
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding
Jiangtao Zhang, Zongsheng Yue, Hui Wang et al.
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers
Navaneet K L, Soroush Abbasi Koohpayegani, Essam Sleiman et al.
ReGround: Improving Textual and Spatial Grounding at No Cost
Phillip (Yuseung) Lee, Minhyuk Sung
Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision
Hussain Sajwani, Dimitrios Makris, Yahya Zweiri et al.
Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization
Shaohan Li, Yunpeng Shi, Gilad Lerman
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.
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution
Zakariya Chaouai, Mohamed Tamaazousti
UniCell: Universal Cell Nucleus Classification via Prompt Learning
Junjia Huang, Haofeng Li, Xiang Wan et al.
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.
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
Min Wang, Xin Li, Leiji Zhang 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.
X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
Anna Kukleva, Fadime Sener, Edoardo Remelli et al.
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
Sina Baharlouei, Shivam Patel, Meisam Razaviyayn
Bandits with Replenishable Knapsacks: the Best of both Worlds
Martino Bernasconi, Matteo Castiglioni, Andrea Celli 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.
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale
Adam Pardyl, Michal Wronka, Maciej Wołczyk et al.
Multiplane Prior Guided Few-Shot Aerial Scene Rendering
Zihan Gao, Licheng Jiao, Lingling Li et al.
Scaling Few-Shot Learning for the Open World
Zhipeng Lin, Wenjing Yang, Haotian Wang et al.
TexVocab: Texture Vocabulary-conditioned Human Avatars
Yuxiao Liu, Zhe Li, Yebin Liu et al.
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
Jinsung Jeon, Hyundong Jin, Jonghyun Choi et al.
Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats
Mingyang Xie, Haoming Cai, Sachin Shah et al.
Real-Time Neural BRDF with Spherically Distributed Primitives
Yishun Dou, Zhong Zheng, Qiaoqiao Jin et al.
Tight Rates in Supervised Outlier Transfer Learning
Mohammadreza Mousavi Kalan, Samory Kpotufe
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
Jiayun Wang, Yubei Chen, Stella Yu
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee
Anatomically Constrained Implicit Face Models
Prashanth Chandran, Gaspard Zoss
Hypernetworks for Generalizable BRDF Representation
Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou et al.
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
Yeongwoo Song, Hawoong Jeong
LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
Haoyang Ge, Qiao Feng, Hailong Jia et al.
Learning to Approximate Adaptive Kernel Convolution on Graphs
Jaeyoon Sim, Sooyeon Jeon, InJun Choi et al.
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
Sheng-Jun Huang, Yi Li, Yiming Sun et al.
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
Xi Yang, Songsong Duan, Nannan Wang et al.
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
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
Alessandro Achille, Greg Ver Steeg, Tian Yu Liu et al.
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval
Yan Fang, Qingyao Ai, Jingtao Zhan et al.
Path Choice Matters for Clear Attributions in Path Methods
Borui Zhang, Wenzhao Zheng, Jie Zhou et al.
Gravity-aligned Rotation Averaging with Circular Regression
Linfei Pan, Marc Pollefeys, Daniel Barath
SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing
Tomoki Ichikawa, Shohei Nobuhara, Ko Nishino
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
Milan Papez, Martin Rektoris, Vaclav Smidl et al.
JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention
Brian Cheong, Jiachen Zhou, Steven Waslander
Building Optimal Neural Architectures using Interpretable Knowledge
Keith Mills, Fred Han, Mohammad Salameh et al.
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
Learning Diffusions under Uncertainty
Hao Huang, Qian Yan, Keqi Han et al.
Dynamic Spiking Graph Neural Networks
Yin Nan, Mengzhu Wang, Zhenghan Chen et al.
CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation
Hongyang Chen, Kaisheng Ma
Modality Translation for Object Detection Adaptation without forgetting prior knowledge
Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A Guerrero Pena et al.
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Xi Chen, Chang Gao, Zuowen Wang et al.
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
Kenichiro Ando, S. Sekine, Mamoru Komachi
A Graph Dynamics Prior for Relational Inference
Liming Pan, Cheng Shi, Ivan Dokmanic
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration
Dongwon Park, Hayeon Kim, Se Young Chun
On the Joint Interaction of Models, Data, and Features
Yiding Jiang, Christina Baek, J Kolter
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation
Brandon Theodorou, Shrusti Jain, Cao Xiao et al.
Scaling Convex Neural Networks with Burer-Monteiro Factorization
Arda Sahiner, Tolga Ergen, Batu Ozturkler et al.
Headless Language Models: Learning without Predicting with Contrastive Weight Tying
Nathan Godey, Éric Clergerie, Benoît Sagot