Most Cited 2024 "neural uv mapping" Papers
12,324 papers found • Page 33 of 62
Conference
On the Parameterization of Second-Order Optimization Effective towards the Infinite Width
Satoki Ishikawa, Ryo Karakida
Multi-task Learning with 3D-Aware Regularization
Wei-Hong Li, Steven McDonagh, Ales Leonardis et al.
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
Hao Xu, Xi Zhang, Xiaolin Wu
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
Xiaojie Li, Yibo Yang, Xiangtai Li et al.
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation
Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon et al.
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics
Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum
Axiomatic Aggregations of Abductive Explanations
Gagan Biradar, Yacine Izza, Elita Lobo et al.
General Graph Random Features
Isaac Reid, Krzysztof Choromanski, Eli Berger et al.
Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°
Yuxiao He, Yiyu Zhuang, Yanwen Wang et al.
A Lie Group Approach to Riemannian Batch Normalization
Ziheng Chen, Yue Song, Yunmei Liu et al.
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen, Stefan Uhlich, Fabien Cardinaux et al.
On Pretraining Data Diversity for Self-Supervised Learning
Hasan Abed El Kader Hammoud, Tuhin Das, Fabio Pizzati et al.
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models
xinjian wu, Ruisong Zhang, Jie Qin et al.
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
Ripon Saha, Dehao Qin, Nianyi Li et al.
BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion
Bo-Kyeong Kim, Hyoung-Kyu Song, Thibault Castells et al.
CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
Sachin Shah, Matthew Chan, Haoming Cai et al.
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
Hyun Ryu, Sunjae Yoon, Hee Suk Yoon et al.
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning
Bang Yang, Yong Dai, Xuxin Cheng et al.
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
Yiyang Ma, Huan Yang, Wenhan Yang et al.
Polynomial Width is Sufficient for Set Representation with High-dimensional Features
Peihao Wang, Shenghao Yang, Shu Li et al.
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
Sojin Lee, Dogyun Park, Inho Kong et al.
Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person Views
Ziwei Zhao, Yuchen Wang, Chuhua Wang
TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light
Parsa Mirdehghan, Maxx Wu, Wenzheng Chen et al.
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
Arnab Mondal, Siba Smarak Panigrahi, Sai Rajeswar et al.
PRIME: Prioritizing Interpretability in Failure Mode Extraction
Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri et al.
Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model
Danni Yang, Ruohan Dong, Jiayi Ji et al.
WRIM-Net: Wide-Ranging Information Mining Network for Visible-Infrared Person Re-Identification
Yonggan Wu, Ling-Chao Meng, Yuan Zichao et al.
ProMotion: Prototypes As Motion Learners
Yawen Lu, Dongfang Liu, Qifan Wang et al.
Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
Haolin Liu, Chen-Yu Wei, Julian Zimmert
Ensemble Distillation for Unsupervised Constituency Parsing
Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu et al.
HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos
Lixin Xue, Chen Guo, Chengwei Zheng et al.
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis, Hadi Jamali-Rad
Semantics-aware Motion Retargeting with Vision-Language Models
Haodong Zhang, ZhiKe Chen, Haocheng Xu et al.
SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering
Tao Hu, Fangzhou Hong, Ziwei Liu
Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
Jiale Zhao, Wanru Zhuang, Jia Song et al.
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication
Eric Slyman, Stefan Lee, Scott Cohen et al.
TUVF: Learning Generalizable Texture UV Radiance Fields
An-Chieh Cheng, Xueting Li, Sifei Liu et al.
Unsupervised Concept Discovery Mitigates Spurious Correlations
Md Rifat Arefin, Yan Zhang, Aristide Baratin et al.
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
Tianlang Chen, Shengjie Luo, Di He et al.
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
Nimrod Berman, Ilan Naiman, Idan Arbiv et al.
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees
Hakyeong Kim, Andreas Meuleman, Hyeonjoong Jang et al.
Expressive Forecasting of 3D Whole-Body Human Motions
Pengxiang Ding, Qiongjie Cui, Haofan Wang et al.
MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion
Shulei Ji, Xinyu Yang
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
Qichen Zheng, Yi Yu, SIYUAN YANG et al.
Fully Authentic Visual Question Answering Dataset from Online Communities
Chongyan Chen, Mengchen Liu, Noel C Codella et al.
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao et al.
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Alizée Pace, Hugo Yèche, Bernhard Schoelkopf et al.
Learning to Learn in Interactive Constraint Acquisition
Dimosthenis Tsouros, Senne Berden, Tias Guns
REFACTOR: Learning to Extract Theorems from Proofs
Jin Zhou, Yuhuai Wu, Qiyang Li et al.
Certifiably Robust Image Watermark
Zhengyuan Jiang, Moyang Guo, Yuepeng Hu et al.
3D Reconstruction of Objects in Hands without Real World 3D Supervision
Aditya Prakash, Matthew Chang, Matthew Jin et al.
Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer
Xueyi Liu, Kangbo Lyu, jieqiong zhang et al.
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
Shengkun Tang, Yaqing Wang, Caiwen Ding et al.
2S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view Images
Junkai Deng, Fei Hou, Xuhui Chen et al.
Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores
Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania et al.
An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
Emre Sahinoglu, Shahin Shahrampour
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu 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.
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.
SLIM: Spuriousness Mitigation with Minimal Human Annotations
Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin et al.
Adaptively Perturbed Mirror Descent for Learning in Games
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto et al.
A Unified and Interpretable Emotion Representation and Expression Generation
Reni Paskaleva, Mykyta Holubakha, Andela Ilic et al.
Authentic Hand Avatar from a Phone Scan via Universal Hand Model
Gyeongsik Moon, Weipeng Xu, Rohan Joshi et al.
Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
Wenlong Liu, Tianyu Yang, Yuhan Wang et al.
ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model
Fu-Yun Wang, Zhaoyang Huang, Qiang Ma et al.
Position: Stop Making Unscientific AGI Performance Claims
Patrick Altmeyer, Andrew Demetriou, Antony Bartlett et al.
Machine-Created Universal Language for Cross-Lingual Transfer
Yaobo Liang, Quanzhi Zhu, Junhe Zhao et al.
Data-Free Hard-Label Robustness Stealing Attack
Xiaojian Yuan, Kejiang Chen, Wen Huang et al.
Scalable Online Exploration via Coverability
Philip Amortila, Dylan Foster, Akshay Krishnamurthy
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko et al.
Neural Fourier Transform: A General Approach to Equivariant Representation Learning
Masanori Koyama, Kenji Fukumizu, Kohei Hayashi et al.
On the Vulnerability of Skip Connections to Model Inversion Attacks
Jun Hao Koh, Sy-Tuyen Ho, Ngoc-Bao Nguyen et al.
Generative Adversarial Equilibrium Solvers
Denizalp Goktas, David Parkes, Ian Gemp et al.
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
Matteo Bettini, Ryan Kortvelesy, Amanda Prorok
Personalized Residuals for Concept-Driven Text-to-Image Generation
Cusuh Ham, Matthew Fisher, James Hays et al.
How Spurious Features are Memorized: Precise Analysis for Random and NTK Features
Simone Bombari, Marco Mondelli
Learning Subject-Aware Cropping by Outpainting Professional Photos
James Hong, Lu Yuan, Michaël Gharbi et al.
Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis
Francesco Kriegel
REGLO: Provable Neural Network Repair for Global Robustness Properties
Feisi Fu, Zhilu Wang, Weichao Zhou et al.
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation
Pengwei Yin, Jingjing Wang, Guanzhong Zeng et al.
Can a Few Decide for Many? The Metric Distortion of Sortition
Ioannis Caragiannis, Evi Micha, Jannik Peters
Online Learning under Budget and ROI Constraints via Weak Adaptivity
Matteo Castiglioni, Andrea Celli, Christian Kroer
Auditing Private Prediction
Karan Chadha, Matthew Jagielski, Nicolas Papernot et al.
Take A Step Back: Rethinking the Two Stages in Visual Reasoning
Mingyu Zhang, Jiting Cai, Mingyu Liu et al.
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon
Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment
Chong Li, Xuelin Qian, Yun Wang et al.
T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy
Fan Duan, Jiahao Yu, Li Chen
Unlocking the Power of Representations in Long-term Novelty-based Exploration
Alaa Saade, Steven Kapturowski, Daniele Calandriello et al.
ActionVOS: Actions as Prompts for Video Object Segmentation
LIANGYANG OUYANG, Ruicong Liu, Yifei Huang et al.
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception
Xiaosu Zhu, Hualian Sheng, Sijia Cai et al.
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng, Xiaoyong Chen, Jiaming Liang et al.
CountFormer: Multi-View Crowd Counting Transformer
Hong Mo, Xiong Zhang, Jianchao Tan et al.
High-Quality Facial Geometry and Appearance Capture at Home
Yuxuan Han, Junfeng Lyu, Feng Xu
Boosting Offline Optimizers with Surrogate Sensitivity
Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong et al.
CityGuessr: City-Level Video Geo-Localization on a Global Scale
Parth Parag Kulkarni, Gaurav Kumar Nayak, Shah Mubarak
Expected flow networks in stochastic environments and two-player zero-sum games
Marco Jiralerspong, Bilun Sun, Danilo Vucetic et al.
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Vint Lee, Pieter Abbeel, Youngwoon Lee
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Qin ZHANG, Linghan Xu, Jun Fang et al.
Learning Multi-Agent Communication with Contrastive Learning
Yat Long (Richie) Lo, Biswa Sengupta, Jakob Foerster et al.
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
Jiecheng Lu, Xu Han, Shihao Yang
Exploring Weight Balancing on Long-Tailed Recognition Problem
Naoya Hasegawa, Issei Sato
Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data
Yanmeng Yao, Xiaohan Zhao, Bin Gu
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
Alexandru Meterez, Amir Joudaki, Francesco Orabona et al.
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction
Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading et al.
Neural Language of Thought Models
Yi-Fu Wu, Minseung Lee, Sungjin Ahn
Purified and Unified Steganographic Network
GuoBiao Li, Sheng Li, Zicong Luo et al.
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
Rémi Leluc, Aymeric Dieuleveut, François Portier et al.
PiTe: Pixel-Temporal Alignment for Large Video-Language Model
Yang Liu, Pengxiang Ding, Siteng Huang et al.
TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields
Tianyu Huang, Yihan Zeng, Bowen Dong et al.
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
Zhangyang Gao, Daize Dong, Cheng Tan et al.
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
Bowen Gao, Minsi Ren, Yuyan Ni et al.
GenRC: Generative 3D Room Completion from Sparse Image Collections
Ming-Feng Li, Yueh-Feng Ku, Hong-Xuan Yen et al.
Memory-Scalable and Simplified Functional Map Learning
Robin Magnet, Maks Ovsjanikov
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
Dong Chen, Ning Liu, Yichen Zhu et al.
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Marco Federici, Patrick Forré, Ryota Tomioka et al.
Self-Supervised Representation Learning for Adversarial Attack Detection
Yi Li, Plamen Angelov, Neeraj Suri
Poly-View Contrastive Learning
Amitis Shidani, R Devon Hjelm, Jason Ramapuram et al.
On the Diminishing Returns of Width for Continual Learning
Etash Guha, Vihan Lakshman
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance
Xiaoxu Xu, Yitian Yuan, Jinlong Li et al.
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg
Bellman Optimal Stepsize Straightening of Flow-Matching Models
Bao Nguyen, Binh Nguyen, Viet Anh Nguyen
Prototypical Transformer As Unified Motion Learners
Cheng Han, Yawen Lu, Guohao Sun et al.
Uncertainty Quantification via Stable Distribution Propagation
Felix Petersen, Aashwin Mishra, Hilde Kuehne et al.
Intrinsic Phase-Preserving Networks for Depth Super Resolution
Xuanhong Chen, Hang Wang, Jinfan Liu et al.
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
Nikolai Körber, Eduard Kromer, Andreas Siebert et al.
Relation Rectification in Diffusion Model
Yinwei Wu, Xingyi Yang, Xinchao Wang
FlexAttention for Efficient High-Resolution Vision-Language Models
Junyan Li, Delin Chen, Tianle Cai et al.
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis et al.
Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
Xiangyu Liao, Tianheng Zheng, Jiayu Zhong et al.
Bilateral Event Mining and Complementary for Event Stream Super-Resolution
Zhilin Huang, Quanmin Liang, Yijie Yu et al.
MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision
Chenyangguang Zhang, Guanlong Jiao, Yan Di et al.
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
Jason Chun Lok Li, Steven Luo, Le Xu et al.
Improved Anonymous Multi Agent Path Finding Algorithm
Zain Alabedeen Ali, Konstantin Yakovlev
Flying with Photons: Rendering Novel Views of Propagating Light
Anagh Malik, Noah Juravsky, Ryan Po et al.
Improved Active Learning via Dependent Leverage Score Sampling
Atsushi Shimizu, Xiaoou Cheng, Christopher Musco 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.
Animate Your Motion: Turning Still Images into Dynamic Videos
Mingxiao Li, Bo Wan, Marie-Francine Moens et al.
Deceptive Fairness Attacks on Graphs via Meta Learning
Jian Kang, Yinglong Xia, Ross Maciejewski et al.
Relightable Neural Actor with Intrinsic Decomposition and Pose Control
Diogo Carbonera Luvizon, Vladislav Golyanik, Adam Kortylewski et al.
Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes
Ziqian Bai, Feitong Tan, Sean Fanello et al.
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
Anay Majee, Ryan X Sharp, Rishabh Iyer
SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic Image Synthesis
Huan-ang Gao, Mingju Gao, Jiaju Li et al.
Understanding Expressivity of GNN in Rule Learning
Haiquan Qiu, Yongqi Zhang, Yong Li et al.
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
Lei Li, Jianxun Lian, Xiao Zhou et al.
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model
chen rao, Guangyuan Li, Zehua Lan et al.
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
Mikołaj Małkiński, Jacek Mańdziuk
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Guojun Xiong, Gang Yan, Shiqiang Wang et al.
Hyperion – A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM
David Hug, Ignacio Alzugaray Lopez, Margarita Chli
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation
Zhaoyang Li, Yuan Wang, Wangkai Li et al.
Balancing Act: Constraining Disparate Impact in Sparse Models
Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran et al.
Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution
Hongjun Wang, Jiyuan Chen, Yinqiang Zheng et al.
Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction
Guowei Xu, Jiale Tao, Wen Li et al.
AdaDiffSR: Adaptive Region-aware Dynamic acceleration Diffusion Model for Real-World Image Super-Resolution
Yuanting Fan, Chengxu Liu, Nengzhong Yin et al.
An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning
Zhe Zhang, Xiaoyang Tan
Graph Context Transformation Learning for Progressive Correspondence Pruning
Junwen Guo, Guobao Xiao, Shiping Wang et al.
Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement
Haodong LI, Hao LU, Yingcong Chen
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
Tanishq Kumar, Kevin Luo, Mark Sellke
Generalized Sobolev Transport for Probability Measures on a Graph
Tam Le, Truyen Nguyen, Kenji Fukumizu
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion
Runsong Zhu, Shi Qiu, Qianyi Wu et al.
MinD-3D: Reconstruct High-quality 3D objects in Human Brain
Jianxiong Gao, Yuqian Fu, Yun Wang et al.
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
Wenshuo Li, Xinghao Chen, Han Shu et al.
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Jeff Guo, Philippe Schwaller
3D Small Object Detection with Dynamic Spatial Pruning
Xiuwei Xu, Zhihao Sun, Ziwei Wang et al.
Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models
David Stotko, Nils Wandel, Reinhard Klein
DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling
Miguel Fainstein, Viviana Siless, Emmanuel Iarussi
TriNeRFLet: A Wavelet Based Triplane NeRF Representation
Rajaei Khatib, RAJA GIRYES
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
Zhaoxin Wang, Handing Wang, Cong Tian et al.
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity
Melissa Hall, Candace Ross, Adina Williams et al.
KernelWarehouse: Rethinking the Design of Dynamic Convolution
Chao Li, Anbang Yao
Graph External Attention Enhanced Transformer
Jianqing Liang, Min Chen, Jiye Liang
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering
Benjamin Attal, Dor Verbin, Ben Mildenhall et al.
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks
Buqing Nie, Jingtian Ji, Yangqing Fu et al.
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays
Baochang Zhang, Zhi Qiao, Runkun Liu et al.
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
Kang Lin, Reinhard Heckel
GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence
Pengyuan Wang, Takuya Ikeda, Robert Lee et al.
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
LU YU, Avetik Karagulyan, Arnak Dalalyan
Towards Reliable Advertising Image Generation Using Human Feedback
Zhenbang Du, Wei Feng, Haohan Wang et al.
Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals
Camilo Fosco, Benjamin Lahner, Bowen Pan et al.
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeonah Kim, Minsu Kim, Sungsoo Ahn et al.
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
Ziquan Liu, Yufei Cui, Yan Yan et al.
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jingge Xiao, Leonie Basso, Wolfgang Nejdl et al.
EraseDraw : Learning to Insert Objects by Erasing Them from Images
Alper Canberk, Maksym Bondarenko, Ege Ozguroglu et al.
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang et al.
Learning Visual Abstract Reasoning through Dual-Stream Networks
Kai Zhao, Chang Xu, Bailu Si
A Goal Interaction Graph Planning Framework for Conversational Recommendation
Xiaotong Zhang, Xuefang Jia, Han Liu et al.
Matrix Manifold Neural Networks++
Xuan Son Nguyen, Yang, Aymeric Histace
PubDef: Defending Against Transfer Attacks From Public Models
Chawin Sitawarin, Jaewon Chang, David Huang et al.
Rethinking Transformers in Solving POMDPs
Chenhao Lu, Ruizhe Shi, Yuyao Liu et al.
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation
Ruijie Xu, Chuyu Zhang, Hui Ren et al.
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
Stefano Mannelli, Yaraslau Ivashynka, Andrew Saxe et al.
Toward Student-oriented Teacher Network Training for Knowledge Distillation
Chengyu Dong, Liyuan Liu, Jingbo Shang
Position: Tensor Networks are a Valuable Asset for Green AI
Eva Memmel, Clara Menzen, Jetze Schuurmans et al.
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
Bowen Shi, XIAOPENG ZHANG, Yaoming Wang et al.
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Peiyan Zhang, Haoyang Liu, Chaozhuo Li et al.
Influencer Backdoor Attack on Semantic Segmentation
Haoheng Lan, Jindong Gu, Philip Torr et al.
Learning Neural Volumetric Pose Features for Camera Localization
Jingyu Lin, Jiaqi Gu, Bojian Wu et al.
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
Geraud Nangue Tasse, Devon Jarvis, Steven James et al.
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition
Yusheng Dai, HangChen, Jun Du et al.
PQ-SAM: Post-training Quantization for Segment Anything Model
Xiaoyu Liu, Xin Ding, Lei Yu et al.