Most Cited 2024 "superhuman model supervision" Papers
12,324 papers found • Page 20 of 62
Conference
SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing
Tomoki Ichikawa, Shohei Nobuhara, Ko Nishino
Building Optimal Neural Architectures using Interpretable Knowledge
Keith Mills, Fred Han, Mohammad Salameh et al.
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
Sheng-Jun Huang, Yi Li, Yiming Sun 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
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
Yaxin Fang, Faming Liang
Contrastive Learning with Synthetic Positives
Dewen Zeng, Xinrong Hu, Yawen Wu et al.
CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation
Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin et al.
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Xi Chen, Chang Gao, Zuowen Wang et al.
A Graph Dynamics Prior for Relational Inference
Liming Pan, Cheng Shi, Ivan Dokmanic
Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers
Zhao Yutian, Tianjing Zhang, Hui JI
A Quadratic Synchronization Rule for Distributed Deep Learning
Xinran Gu, Kaifeng Lyu, Sanjeev Arora et al.
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
Milan Papez, Martin Rektoris, Vaclav Smidl et al.
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor
Andrea Conti, Matteo Poggi, Valerio CAMBARERI et al.
Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter
Suqi Song, Chenxu Zhang, Peng Zhang et al.
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation
Brandon Theodorou, Shrusti Jain, Cao Xiao et al.
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
Rasool Fakoor, Jonas Mueller, Zachary Lipton et al.
M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions
Mingsheng Li, Xin Chen, Chi Zhang et al.
Distributed Manifold Hashing for Image Set Classification and Retrieval
Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.
Dataset Growth
Ziheng Qin, zhaopan xu, YuKun Zhou et al.
Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography
Kailai Zhou, Lijing Cai, Yibo Wang et al.
Implicit Neural Models to Extract Heart Rate from Video
Pradyumna Chari, Anirudh Bindiganavale Harish, Adnan Armouti et al.
Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference
Qian Liang, Yan Chen, Yang Hu
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
Chao Chen, Yushen Liu, Zhizhong Han
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation
Mingkang Zhu, Xi Chen, Zhongdao Wang et al.
ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition
Tianhao Wu, Chuanxia Zheng, Qianyi Wu et al.
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
Bochao Liu, Pengju Wang, Shiming Ge
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring
Peng TANG, Zhiqiang Xu, Chunlai Zhou et al.
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
Xiaotian Hao, Jianye Hao, Chenjun Xiao et al.
Revisiting Supervision for Continual Representation Learning
Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski et al.
Path Choice Matters for Clear Attributions in Path Methods
Borui Zhang, Wenzhao Zheng, Jie Zhou et al.
RSL-BA: Rolling Shutter Line Bundle Adjustment
Yongcong Zhang, Bangyan Liao, Yifei Xue et al.
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
Zihao Tang, Zheqi Lv, Shengyu Zhang et al.
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston et al.
On the Joint Interaction of Models, Data, and Features
Yiding Jiang, Christina Baek, J Kolter
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment
Yufan Liu, Wanqian Zhang, Dayan Wu et al.
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks
Zhewei Wu, Ruilong Yu, Qihe Liu et al.
Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers
Javier Grau Chopite, Patrick Hähn, Matthias B Hullin
Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning
Ali Cheraghian, Zeeshan Hayder, Sameeea Ramasinghe et al.
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
Ruixiao Zhang, Tianchi Huang
Headless Language Models: Learning without Predicting with Contrastive Weight Tying
Nathan Godey, Éric Clergerie, Benoît Sagot
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Simon, Pascal Frossard, Christophe De Vleeschouwer
Emergent Communication for Numerical Concepts Generalization
Enshuai Zhou, Yifan Hao, Rui Zhang et al.
Rectify the Regression Bias in Long-Tailed Object Detection
Ke Zhu, Minghao Fu, Jie Shao et al.
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Zaid Tasneem, Akshat Dave, Abhishek Singh et al.
FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning
Saandeep Aathreya, Shaun Canavan
AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset
Jan Lehr, Jan H Philipps, Alik Sargsyan et al.
3D Human Pose Estimation via Non-Causal Retentive Networks
Kaili Zheng, Feixiang Lu, Yihao Lv et al.
Event-Based Motion Magnification
Yutian Chen, Shi Guo, Yu Fangzheng et al.
A Cephalometric Landmark Regression Method based on Dual-encoder for High-resolution X-ray Image
Chao Dai, Wang Yang, Chaolin Huang et al.
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition
Ka Ho Chow, Sihao Hu, Tiansheng Huang et al.
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction
Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos et al.
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
Sunghyeon Woo, SunWoo Lee, Dongsuk Jeon
Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions
Jin Gao, Lei Gan, Yuankai Li et al.
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds
Dongmin Choi, Wonwoo Cho, Kangyeol Kim et al.
denoiSplit: a method for joint microscopy image splitting and unsupervised denoising
Ashesh Ashesh, Florian Jug
Multi-Modal Video Dialog State Tracking in the Wild
Mohamed Adnen Abdessaied, Lei Shi, Andreas Bulling
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Ximei Wang, Junwei Pan, Xingzhuo Guo et al.
EcoMatcher: Efficient Clustering Oriented Matcher for Detector-free Image Matching
Peiqi Chen, Lei Yu, Yi Wan et al.
Friendly Attacks to Improve Channel Coding Reliability
Anastasiia Kurmukova, Deniz Gunduz
WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting
Jingjing Wu, Zhengyao Fang, Pengyuan Lyu et al.
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
Yanting Yang, Minghao Chen, Qibo Qiu et al.
SAIR: Learning Semantic-aware Implicit Representation
Canyu Zhang, Xiaoguang Li, Qing Guo et al.
Big Learning Expectation Maximization
Yulai Cong, Sijia Li
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
Guangchi Fang, Qingyong Hu, Longguang Wang et al.
Augmented Bayesian Policy Search
Mahdi Kallel, Debabrota Basu, Riad Akrour et al.
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
Wengang Guo, Jiayi Yang, HuiLin YIN et al.
Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior
Qihang Fang, Yafei Song, Keqiang Li et al.
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
Churan Zhi, Junbao Zhuo, Shuhui Wang
MetaWeather: Few-Shot Weather-Degraded Image Restoration
Youngrae Kim, Younggeol Cho, Thanh-Tung Nguyen et al.
Perceptual Group Tokenizer: Building Perception with Iterative Grouping
Zhiwei Deng, Ting Chen, Yang Li
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues
Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau et al.
WAS: Dataset and Methods for Artistic Text Segmentation
Xudong Xie, Yuzhe Li, Yang Liu et al.
Learned Image Enhancement via Color Naming
David Serrano-Lozano, Luis Herranz, Michael S Brown et al.
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
Jaeseong Lee, Junha Hyung, Sohyun Jeong et al.
Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution
Yuehan Zhang, Seungjun Lee, Angela Yao
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction
Shengke Sun, Ziqian Luan, Zhanshan Zhao et al.
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network
Yuhang He, Zhuangzhuang Dai, Niki Trigoni et al.
TETRIS: Towards Exploring the Robustness of Interactive Segmentation
Andrey Moskalenko, Vlad Shakhuro, Anna Vorontsova et al.
Detection-Based Intermediate Supervision for Visual Question Answering
Yuhang Liu, Daowan Peng, Wei Wei et al.
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model
Wenyu Li, Binghui Chen, Yifeng Geng et al.
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara, Saqib Bukhari, Georg Dr. Schneider et al.
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Yuxin Wang, Zunlei Feng, Haofei Zhang et al.
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
I. Anagnostides, Ioannis Panageas, Gabriele Farina et al.
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
Yuyuan Liu, Yuanhong Chen, Hu Wang et al.
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models
Qinyu Yang, Haoxin Chen, Yong Zhang et al.
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving
K. Hu, Tongbo Cao, Yuan Li et al.
PolarMatte: Fully Computational Ground-Truth-Quality Alpha Matte Extraction for Images and Video using Polarized Screen Matting
Kenji Enomoto, TJ Rhodes, Brian Price et al.
Implicit Steganography Beyond the Constraints of Modality
Sojeong Song, Seoyun Yang, Chang Yoo et al.
JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients
Woo Kyoung Han, Sunghoon Im, Jaedeok Kim et al.
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
Customized Generation Reimagined: Fidelity and Editability Harmonized
Jian Jin, Yang Shen, Zhenyong Fu et al.
Open-World Dynamic Prompt and Continual Visual Representation Learning
Youngeun Kim, Jun Fang, Qin Zhang et al.
Synthesizing Environment-Specific People in Photographs
Mirela Ostrek, Carol O'Sullivan, Michael J. Black et al.
Self-Supervised Dual Contouring
Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov
VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting
Renjie Li, Zhiwen Fan, Bohua Wang et al.
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
Joshua C. Zhao, Ahaan Dabholkar, Atul Sharma et al.
Symbolic Numeric Planning with Patterns
Matteo Cardellini, E. Giunchiglia, M. Maratea
Data-to-Model Distillation: Data-Efficient Learning Framework
Ahmad Sajedi, Samir Khaki, Lucy Z. Liu et al.
Instantaneous Perception of Moving Objects in 3D
Di Liu, Bingbing Zhuang, Dimitris N. Metaxas et al.
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
Filip Ilic, He Zhao, Thomas Pock et al.
Interpretability-Guided Test-Time Adversarial Defense
Akshay Ravindra Kulkarni, Tsui-Wei Weng
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
Jin Liu, Xiaokang Pan, Junwen Duan et al.
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Christian Wilms, Tim Rolff, Maris N Hillemann et al.
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
Townim Chowdhury, Kewen Liao, Vu Minh Hieu Phan et al.
Lagrangian Hashing for Compressed Neural Field Representations
Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Shabanov et al.
WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion
Khiem Vuong, N. Dinesh Reddy, Robert Tamburo et al.
Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization
Mengnan Liu, Le Wang, Sanping Zhou et al.
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhanpeng Zhou, Wen Shen, Huixin Chen et al.
FreeAugment: Data Augmentation Search Across All Degrees of Freedom
Tom Bekor, Niv Nayman, Lihi Zelnik-Manor
Out-Of-Domain Unlabeled Data Improves Generalization
seyed amir hossein saberi, Amir Najafi, Alireza Heidari et al.
Retargeting Visual Data with Deformation Fields
Tim Elsner, Julia Berger, Tong Wu et al.
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng et al.
PFGS: High Fidelity Point Cloud Rendering via Feature Splatting
Jiaxu Wang, Zhang Ziyi, Junhao He et al.
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
Jiahuan Long, Tingsong Jiang, Wen Yao et al.
UniPTS: A Unified Framework for Proficient Post-Training Sparsity
JingJing Xie, Yuxin Zhang, Mingbao Lin et al.
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models
Shouwei Ruan, Yinpeng Dong, Liu Hanqing et al.
Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds
Yanni Ma, Hao Liu, Yun Pei et al.
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL
Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.
Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
Yuchen Yang, Yu Qiao, Xiao Sun
MRSP: Learn Multi-Representations of Single Primitive for Compositional Zero-Shot Learning
Dongyao Jiang, Hui Chen, Haodong Jing et al.
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation
Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition
Luoyang Lin, Zutao Jiang, Xiaodan Liang et al.
Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement
Kun Zhou, Xinyu Lin, Wenbo Li et al.
Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation
Sangyeop Yeo, Yoojin Jang, Jaejun Yoo
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
WENCAN CHENG, Eun-Ji Kim, Jong Hwan Ko
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
Cheng Gong, Yao Chen, Qiuyang Luo et al.
Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving
Jiehui Wu, Jiansheng Chen, Qifeng Luo et al.
Decodable and Sample Invariant Continuous Object Encoder
Dehao Yuan, Furong Huang, Cornelia Fermuller et al.
Affine steerers for structured keypoint description
Georg Bökman, Johan Edstedt, Michael Felsberg et al.
Non-transferable Pruning
Ruyi Ding, Lili Su, A. Adam Ding et al.
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
Yue Niu, Ramy E. Ali, Saurav Prakash et al.
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu, Haolun Wu, Xuan Li et al.
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent
Jiahuan Wang, Hong Chen
Spatially-Variant Degradation Model for Dataset-free Super-resolution
ShaoJie Guo, Haofei Song, Qingli Li et al.
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
Hannah Kniesel, Leon Sick, Tristan Payer et al.
Monte Carlo Tree Search in the Presence of Transition Uncertainty
Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang et al.
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
Chongjie Si, Xuehui Wang, Xiaokang Yang et al.
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
Cheeun Hong, Kyoung Mu Lee
Reconstruction-free Cascaded Adaptive Compressive Sensing
Chenxi Qiu, Tao Yue, Xuemei Hu
CliffPhys: Camera-based Respiratory Measurement using Clifford Neural Networks
Omar Ghezzi, Giuseppe Boccignone, Giuliano Grossi et al.
VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking
Jens Hellekes, Manuel Mühlhaus, Reza Bahmanyar et al.
SCOD: From Heuristics to Theory
Vojtech Franc, Jakub Paplham, Daniel Prusa
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee et al.
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition
13319 Bingjun Luo, Zewen Wang, Jinpeng Wang et al.
Uncertainty Visualization via Low-Dimensional Posterior Projections
Omer Yair, Tomer Michaeli, Elias Nehme
Data Poisoning Quantization Backdoor Attack
Tran Huynh, Anh Tran, Khoa Doan et al.
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
Woojin Cho, Seunghyeon Cho, Hyundong Jin et al.
An Adaptive Screen-Space Meshing Approach for Normal Integration
Moritz Heep, Eduard Zell
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
Feiyu Yao, Zongkai Wu, Li Yi
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs
Mattia Segu, Luigi Piccinelli, Siyuan Li et al.
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition
Aggelina Chatziagapi, Grigorios Chrysos, Dimitris Samaras
EvDiG: Event-guided Direct and Global Components Separation
xinyu zhou, Peiqi Duan, Boyu Li et al.
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Sophie Laus et al.
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance
Yufei Zhang, Jeffrey Kephart, Qiang Ji
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder
Jiajie Fan, Amal Trigui, Thomas Bäck et al.
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring
Emanuele Santellani, Martin Zach, Christian Sormann et al.
A New Dataset and Framework for Real-World Blurred Images Super-Resolution
Rui Qin, Ming Sun, Chao Zhou et al.
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Yangming Li, Boris van Breugel, Mihaela van der Schaar
Efficient Constraint Generation for Stochastic Shortest Path Problems
Johannes Schmalz, Felipe Trevizan
FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
Yinglong Li, Hongyu Wu, Wang et al.
Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network
Rui Li, Mikhail Kudryashev, Artur Yakimovich
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
Jiyoung Kim, Kyuhong Shim, Insu Lee et al.
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks
Jingyuan Qi, Minqian Liu, Ying Shen et al.
Research Papers
Xiangci Li, Jessica Ouyang
Tensorial template matching for fast cross-correlation with rotations and its application for tomography
Antonio Martinez-Sanchez, Ulrike Homberg, J. M. Almira et al.
Human-in-the-Loop Visual Re-ID for Population Size Estimation
Gustavo Perez, Daniel Sheldon, Grant Van Horn et al.
Rethinking Directional Parameterization in Neural Implicit Surface Reconstruction
Zijie Jiang, Tianhan Xu, Hiroharu Kato
Shadow Cones: A Generalized Framework for Partial Order Embeddings
Tao Yu, Toni Liu, Albert Tseng et al.
2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction
Atsuya Nakata, Takao Yamanaka
On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence
Songtuan Lin, Conny Olz, Malte Helmert et al.
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
Sean Lamont, Michael Norrish, Amir Dezfouli et al.
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories
Yan Zhang, Sergey Prokudin, Marko Mihajlovic et al.
Previously on ... From Recaps to Story Summarization
Aditya Kumar Singh, Dhruv Srivastava, Makarand Tapaswi
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Kumar Shubham, Pranav Sastry, AP Prathosh
Continuity Preserving Online CenterLine Graph Learning
Yunhui Han, Kun Yu, Zhiwei Li
Look Hear: Gaze Prediction for Speech-directed Human Attention
Sounak Mondal, Seoyoung Ahn, Zhibo Yang et al.
Distilled Datamodel with Reverse Gradient Matching
Jingwen Ye, Ruonan Yu, Songhua Liu et al.
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
Zhiqiang Chen, Yang Chen, xiaolong Zou et al.
TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations
Bo Sun, Thibault Groueix, Chen Song et al.
Pantypes: Diverse Representatives for Self-Explainable Models
Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen
Differentiable Display Photometric Stereo
Seokjun Choi, Seungwoo Yoon, Giljoo Nam et al.
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
Jian Li, Yong Liu, Weiping Wang
Exact Inference for Continuous-Time Gaussian Process Dynamics
Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.
MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection
Ziyue Huang, Yongchao Feng, Qingjie Liu et al.
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation
Ruida Zhang, Chenyangguang Zhang, Yan Di et al.
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
Naiyu Yin, Tian Gao, Yue Yu et al.
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model
Yang Jin, Lei Zhang, Shi Yan et al.
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion
Junhao Su, Chenghao He, Feiyu Zhu et al.
Zero-shot Text-guided Infinite Image Synthesis with LLM guidance
Soyeong Kwon, TAEGYEONG LEE, Taehwan Kim
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Ashish Kumar, Daneul Kim, Jaesik Park et al.
A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields
Yiyu Zhuang, Qi Zhang, Xuan Wang et al.
SonicVisionLM: Playing Sound with Vision Language Models
Zhifeng Xie, Shengye Yu, Qile He et al.
GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images
Basudha Pal, Arunkumar Kannan, Ram Prabhakar Kathirvel et al.
Fast Sprite Decomposition from Animated Graphics
Tomoyuki Suzuki, Kotaro Kikuchi, Kota Yamaguchi
Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation
chenhao li, Trung Thanh Ngo, Hajime Nagahara
Sparse Refinement for Efficient High-Resolution Semantic Segmentation
Zhijian Liu, Zhuoyang Zhang, Samir Khaki et al.
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow
Orcun Cetintas, Tim Meinhardt, Guillem Brasó et al.
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients
Aoran Wang, Jun Pang