Most Cited 2024 "sketch vulnerabilities" Papers
12,324 papers found • Page 22 of 62
Conference
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis
Kun Yan, Lei Ji, Jian Liang et al.
GTMS: A Gradient-driven Tree-guided Mask-free Referring Image Segmentation Method
Haoxin Lyu, Tianxiong Zhong, Sanyuan Zhao
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
Tao Lin, lijia Yu, Gaojie Jin et al.
MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space
Armand Comas Massague, Di Qiu, Menglei Chai et al.
Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation
Donghyun Lee, Yejin Lee, Jae W. Lee et al.
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana et al.
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation
Zixiang Ding, Guoqing Jiang, Shuai Zhang et al.
Confidence-Based Iterative Generation for Real-World Image Super-Resolution
Jialun Peng, Xin Luo, Jingjing Fu et al.
Discontinuity-preserving Normal Integration with Auxiliary Edges
Hyomin Kim, Yucheol Jung, Seungyong Lee
AACP: Aesthetics Assessment of Children’s Paintings Based on Self
Supervised Learning
Flowed Time of Flight Radiance Fields
Mikhail Okunev, Marc Mapeke, Benjamin Attal et al.
Observation-Guided Diffusion Probabilistic Models
Junoh Kang, Jinyoung Choi, Sungik Choi et al.
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images
Jinseo Jeong, Junseo Koo, Qimeng Zhang et al.
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
Aamal Hussain, Francesco Belardinelli
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
Siqi Wang, Bryan Plummer
Synchronization of Projective Transformations
Rakshith Madhavan, Andrea Fusiello, Federica Arrigoni
Coherence As Texture – Passive Textureless 3D Reconstruction by Self-interference
Wei-Yu Chen, Aswin C. Sankaranarayanan, Anat Levin et al.
Towards Architecture-Agnostic Untrained Networks Priors for Image Reconstruction with Frequency Regularization
Yilin Liu, Yunkui Pang, Jiang Li et al.
LEROjD: Lidar Extended Radar-Only Object Detection
Patrick Palmer, Martin Krüger, Stefan Schütte et al.
A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images
Tianyi Liu, Shuaishuai S Zhuang, Jiacheng Nie et al.
Multi-Task Domain Adaptation for Language Grounding with 3D Objects
Penglei SUN, Yaoxian Song, Xinglin Pan et al.
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
Dohyung Kim, Junghyup Lee, Jeimin Jeon et al.
Single-Photon 3D Imaging with Equi-Depth Photon Histograms
Kaustubh Sadekar, David Maier, Atul Ingle
VF-NeRF: Viewshed Fields for Rigid NeRF Registration
Leo Segre, Shai Avidan
Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses
Yongwei Nie, Changzhen Liu, Chengjiang Long et al.
POA: Pre-training Once for Models of All Sizes
Yingying Zhang, Xin Guo, Jiangwei Lao et al.
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
Badr-Eddine Marani, Mohamed HANINI, Nihitha Malayarukil et al.
OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction
Yini Fang, Jingling Yu, Haozheng Zhang et al.
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
Xiaolin Sun, Zizhan Zheng
Learning-based Axial Video Motion Magnification
Kwon Byung-Ki, HYUNBIN OH, Kim Jun-Seong et al.
Adapting to Shifting Correlations with Unlabeled Data Calibration
Minh Nguyen, Alan Q Wang, Heejong Kim et al.
HardMo: A Large-Scale Hardcase Dataset for Motion Capture
Jiaqi Liao, Chuanchen Luo, Yinuo Du et al.
Multi-scale Cross Distillation for Object Detection in Aerial Images
Kun Wang, Zi Wang, Zhang Li et al.
Adaptive Softassign via Hadamard-Equipped Sinkhorn
Binrui Shen, Qiang Niu, Shengxin Zhu
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References
Lukas Bösiger, Mihai Dusmanu, Marc Pollefeys et al.
Do Generalised Classifiers really work on Human Drawn Sketches?
Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan Sain et al.
Residual Learning in Diffusion Models
Junyu Zhang, Daochang Liu, Eunbyung Park et al.
COSMU: Complete 3D human shape from monocular unconstrained images
Marco Pesavento, Marco Volino, Adrian Hilton
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
Jiahao Ma, Miaomiao Liu, David Ahmedt-Aristizabal et al.
RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion
Kyle Lo, Jorg Peters, Eric Spellman
LineFit: A Geometric Approach for Fitting Line Segments in Images
Marion BOYER, David Youssefi, Florent Lafarge
Natural Strategic Ability in Stochastic Multi-Agent Systems
Raphaël Berthon, J. Katoen, Munyque Mittelmann et al.
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen et al.
Interactive 3D Object Detection with Prompts
Ruifei Zhang, Xiangru Lin, Wei Zhang et al.
ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing
Kartik Thakral, Shashikant Prasad, Stuti Aswani et al.
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets
Ishan Rajendrakumar Dave, Fabian Caba, Shah Mubarak et al.
Reconciling Predictive and Statistical Parity: A Causal Approach
Drago Plecko, Elias Bareinboim
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
Rui She, Sijie Wang, Qiyu Kang et al.
Coreference Graph Guidance for Mind-Map Generation
Zhuowei Zhang, Mengting Hu, Yinhao Bai et al.
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
Jiafu Chen, Wei Xing, Jiakai Sun et al.
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs
Tianyuan Jin, Hao-Lun Hsu, William Chang et al.
Task Planning for Object Rearrangement in Multi-Room Environments
Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.
Double Auction on Diffusion Network
Miao Li, Yuhan Cao, Dengji Zhao
Global-to-Pixel Regression for Human Mesh Recovery
Yabo Xiao, MINGSHU HE, Dongdong Yu
Single-Mask Inpainting for Voxel-based Neural Radiance Fields
Jiafu Chen, Tianyi Chu, Jiakai Sun et al.
Rethinking the Uniformity Metric in Self-Supervised Learning
Xianghong Fang, Jian Li, Qiang Sun et al.
Efficient Cascaded Multiscale Adaptive Network for Image Restoration
Yichen Zhou, Pan Zhou, Teck Khim Ng
Text Diffusion with Reinforced Conditioning
Yuxuan Liu, Tianchi Yang, Shaohan Huang et al.
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
Jiahao Qiu, Hui Yuan, Jinghong Zhang et al.
GSO-Net: Grid Surface Optimization via Learning Geometric Constraints
Chaoyun Wang, Jingmin Xin, Nanning Zheng et al.
Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time
Aakash, Indranil Saha
AUC Optimization from Multiple Unlabeled Datasets
Zheng Xie, Yu Liu, Ming Li
An Approximate Skolem Function Counter
Arijit Shaw, Brendan Juba, Kuldeep S Meel
UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit Representation
Mengqi GUO, Chen Li, Hanlin Chen et al.
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models
Dan Shi, Chaobin You, Jian-Tao Huang et al.
Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing
Guangming Zhu, Siyuan Wang, Tianci Wu et al.
DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning
Chao Liu, Ting Zhao, Nenggan Zheng
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng et al.
Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition
Paul Bodily, Dan Ventura
GRAPE: Generalizable and Robust Multi-view Facial Capture
Jing Li, Di Kang, Zhenyu He
Graph Generation with $K^2$-trees
Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction
Hyeongseok Jeon, Sanmin Kim, Abi Rahman Syamil et al.
BugNIST - a Large Volumetric Dataset for Detection under Domain Shift
Patrick Jensen, Vedrana Dahl, Rebecca Engberg et al.
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems
Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.
Transferable 3D Adversarial Shape Completion using Diffusion Models
Xuelong Dai, Bin Xiao
A representation-learning game for classes of prediction tasks
Neria Uzan, Nir Weinberger
MetaAug: Meta-Data Augmentation for Post-Training Quantization
Cuong Pham, Hoang Anh Dung, Cuong Cao Nguyen et al.
Stripe Observation Guided Inference Cost-free Attention Mechanism
Zhongzhan Huang, Shanshan Zhong, Wushao Wen et al.
An Information Theoretical View for Out-Of-Distribution Detection
Jinjing Hu, Wenrui Liu, Hong Chang et al.
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization
Liang Dai, Kejie Lyu, Chengcheng Zhang et al.
Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures
Ganchao Wei
NfgTransformer: Equivariant Representation Learning for Normal-form Games
SIQI LIU, Luke Marris, Georgios Piliouras et al.
Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization
Yukun Wang, Kunhong Li, Minglin Chen et al.
Eliciting Kemeny Rankings
Anne-Marie George, Christos Dimitrakakis
Dependency-aware Differentiable Neural Architecture Search
Buang Zhang, Xinle Wu, Hao Miao et al.
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning
Zhiyu Wu, Jin shi Cui
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction
Shuchi Wu, Chuan Ma, Kang Wei et al.
Leveraging scale- and orientation-covariant features for planar motion estimation
Marcus Valtonen Örnhag, Alberto Jaenal
Resolving Scale Ambiguity in Multi-view 3D Reconstruction using Dual-Pixel Sensors
Kohei Ashida, Hiroaki Santo, Fumio Okura et al.
Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
Yoon Gyo Jung, Jaewoo Park, Xingbo Dong et al.
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
Jimmy Lin, Junkai Li, Jiasi Gao et al.
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
Xiaolong Fan, Maoguo Gong, Yue Wu et al.
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori et al.
Discerning Temporal Difference Learning
Jianfei Ma
10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
Hai Xia, Stefan Szeider
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
Yining Li, Peizhong Ju, Ness Shroff
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
Hung Quang Nguyen, Yingjie Lao, Tung Pham et al.
UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation
Shuang Wu, Songlin Tang, Guangming Lu et al.
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael Livanos, Ian Davidson, Stephen Wong
An Optimal Control View of LoRA and Binary Controller Design for Vision Transformers
CHI Zhang, Jingpu Cheng, Qianxiao Li
Rethinking and Extending the Probabilistic Inference Capacity of GNNs
Tuo Xu, Lei Zou
GroundUp: Rapid Sketch-Based 3D City Massing
Gizem Esra Unlu, Mohamed Sayed, Yulia Gryaditskaya et al.
Implications of Distance over Redistricting Maps: Central and Outlier Maps
Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.
The Moderating Effect of Instant Runoff Voting
Kiran Tomlinson, Johan Ugander, Jon Kleinberg
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
Lars Doorenbos, Raphael Sznitman, Pablo Márquez Neila
Wavelength-Embedding-guided Filter-Array Transformer for Spectral Demosaicing
haijin zeng, Hiep Luong, Wilfried Philips
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
Jinzhao Li, Nan Jiang, Yexiang Xue
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
David Nguyen, David Liebowitz, Salil Kanhere et al.
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation
Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
Fan Zhou, Chen Pan, Lintao Ma et al.
LEAD: Min-Max Optimization from a Physical Perspective
Guillaume Lajoie, Amartya Mitra, Reyhane Askari Hemmat et al.
Pooling Image Datasets with Multiple Covariate Shift and Imbalance
Sotirios Panagiotis Chytas, Vishnu Lokhande, Vikas Singh
Flatness-aware Sequential Learning Generates Resilient Backdoors
Hoang Pham, The-Anh Ta, Anh Tran et al.
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning
Chenyu Sun, Hangwei Qian, Chunyan Miao
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
Ri Cheng, Ruian He, Xuhao Jiang et al.
Social-Aware Group Display Configuration in VR Conference
Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan et al.
Towards compact reversible image representations for neural style transfer
Xiyao Liu, Siyu Yang, Jian Zhang et al.
On-the-fly Category Discovery for LiDAR Semantic Segmentation
HYEONSEONG KIM, Sung-Hoon Yoon, Minseok Kim et al.
Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model
Zhejing Hu, Yan Liu, Gong Chen et al.
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
Wonho Bae, Jing Wang, Danica J. Sutherland
Learning to Build by Building Your Own Instructions
Aaron Walsman, Muru Zhang, Adam Fishman et al.
Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
Minjun Sung, Sambhu Harimanas Karumanchi, Aditya Gahlawat et al.
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model
Mingxin Li, Richong Zhang, Zhijie Nie et al.
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning
Animesh Karnewar, Roman Shapovalov, Tom Monnier et al.
Object-Oriented Anchoring and Modal Alignment in Multimodal Learning
Shibin Mei, Bingbing Ni, Hang Wang et al.
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
Abbvavaram Gowtham Reddy, Vineeth N Balasubramanian
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision
Jinhee Kim, Taesung Kim, Choo Jaegul
VRetouchEr: Learning Cross-frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos
Wen Xue, Le Jiang, Lianxin Xie et al.
Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation
Yingjie Chen, Jiarui Zhang, Tao Wang et al.
Catastrophic Overfitting: A Potential Blessing in Disguise
MN Zhao, Lihe Zhang, Yuqiu Kong et al.
Generalising Planning Environment Redesign
Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly
Mengqi GUO, Chen Li, Yuyang Zhao et al.
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora, Srujana Merugu, Anoop Saladi et al.
Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
Jae Young Lee, Woonghyun Ka, Jaehyun Choi et al.
Semantic Line Combination Detector
JINWON KO, Dongkwon Jin, Chang-Su Kim
Towards Certifiably Robust Face Recognition
Seunghun Paik, Dongsoo Kim, Chanwoo Hwang et al.
Compositional Substitutivity of Visual Reasoning for Visual Question Answering
Chuanhao Li, Zhen Li, Chenchen Jing et al.
Fair Participation via Sequential Policies
Reilly Raab, Ross Boczar, Maryam Fazel et al.
Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection
Haoyue Shi, Le Wang, Sanping Zhou et al.
DDAE: Towards Deep Dynamic Vision BERT Pretraining
1953 Honghao Chen, Xiangwen Kong, Xiangyu Zhang et al.
Improving GNN Calibration with Discriminative Ability: Insights and Strategies
Yujie Fang, Xin Li, Qianyu Chen et al.
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
Hilal AlQuabeh, William de Vazelhes, Bin Gu
Integration of Global and Local Representations for Fine-grained Cross-modal Alignment
Seungwan Jin, Hoyoung Choi, Taehyung Noh et al.
Moral Uncertainty and the Problem of Fanaticism
Jazon Szabo, Natalia Criado, Jose Such et al.
Multi-Label Supervised Contrastive Learning
Pingyue Zhang, Mengyue Wu
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
Jeremy Styborski, Mingzhi Lyu, YI HUANG et al.
Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry
Shengjie Zhu, Girish Chandar Ganesan, Abhinav Kumar et al.
Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning
Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada
Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending
Delong Wu, Hao Zhu, Qi Zhang et al.
Source-Free Domain-Invariant Performance Prediction
Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon et al.
EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control
Christopher May, Daniel Aliaga
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes
Jinsong Liu, Chenghan Xie, Qi Deng et al.
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu et al.
REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices
Chaojie Ji, Yufeng Li, Yiyi Liao
Root Cause Explanation of Outliers under Noisy Mechanisms
Phuoc Nguyen, Truyen Tran, Sunil Gupta et al.
Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation
Sudhir Kumar Reddy Yarram, Junsong Yuan
Sample-and-Bound for Non-convex Optimization
Yaoguang Zhai, Zhizhen Qin, Sicun Gao
Diverse Text-to-3D Synthesis with Augmented Text Embedding
Uy Tran, Minh N. Hoang Luu, Phong Nguyen et al.
Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning
Kevin Leo, Graeme Gange, M. G. D. L. Banda et al.
Data Collection-free Masked Video Modeling
Yuchi Ishikawa, Masayoshi Kondo, Yoshimitsu Aoki
Design Graph Guided Element Importance-Aware Layout Generation with Multi-Modality Cascade Transformer
Qiuyun Zhang, Bin Guo, Lina Yao et al.
Focus Stacking with High Fidelity and Superior Visual Effects
Bo Liu, Bin Hu, Xiuli Bi et al.
Revisiting Open-Set Panoptic Segmentation
Yufei Yin, Hao Chen, Wengang Zhou et al.
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models
Shengzhe Zhou, Zejian Li, Shengyuan Zhang et al.
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time
Chiao-An Yang, Ziwei Liu, Raymond Yeh
Möbius Transform for Mitigating Perspective Distortions in Representation Learning
Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De et al.
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions
Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs et al.
Leveraging Imperfect Restoration for Data Availability Attack
YI HUANG, Jeremy Styborski, Mingzhi Lyu et al.
Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch
Taemin Park, Hyuck Lee, Heeyoung Kim
Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes
Haobin Duan, Miao Wang, Yanxun Li et al.
Classification Matters: Improving Video Action Detection with Class-Specific Attention
Jinsung Lee, Taeoh Kim, Inwoong Lee et al.
Non-Rigid Structure-from-Motion: Temporally-Smooth Procrustean Alignment and Spatially-Variant Deformation Modeling
Jiawei Shi, Hui Deng, Yuchao Dai
Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations
Haziq Razali, Yiannis Demiris
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
Di Wu, Yuling Jiao, Li Shen et al.
Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks
Jiacheng Cheng, Xiang Dai, Jia Wan et al.
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
Yu Liu, Runzhe Wan, James McQueen et al.
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
Tianming Liang, Chaolei Tan, Beihao Xia et al.
Efficient Snapshot Spectral Imaging: Calibration-Free Parallel Structure with Aperture Diffraction Fusion
Tao Lv, Lihao Hu, Shiqiao Li et al.
On Spectral Properties of Gradient-based Explanation Methods
Amir Mehrpanah, Erik Englesson, Hossein Azizpour
A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks
Feiyu CHEN, Wei Lin, Ziquan Liu et al.
POCA: Post-training Quantization with Temporal Alignment for Codec Avatars
Jian Meng, Yuecheng Li, CHENGHUI Li et al.
Layer Compression of Deep Networks with Straight Flows
Chengyue Gong, Xiaocong Du, Bhargav Bhushanam et al.
A Probability-guided Sampler for Neural Implicit Surface Rendering
Gonçalo José Dias Pais, Valter André Piedade, Moitreya Chatterjee et al.
Multiscale Graph Texture Network
Ravishankar Evani, Deepu Rajan, Shangbo Mao
Multimodal Label Relevance Ranking via Reinforcement Learning
Taian Guo, Taolin Zhang, Haoqian Wu et al.
SAT-Based Techniques for Lexicographically Smallest Finite Models
Mikoláš Janota, Choiwah Chow, João Araújo et al.
Semicalibrated Relative Pose from an Affine Correspondence and Monodepth
Petr Hrubý, Marc Pollefeys, Daniel Barath
SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction
Yuliang Guo, Abhinav Kumar, Cheng Zhao et al.
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following
Qiaomu Miao, Alexandros Graikos, Jingwei Zhang et al.
FairViT: Fair Vision Transformer via Adaptive Masking
Bowei Tian, Ruijie Du, Yanning Shen
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing
Seongmin Hong, Jaehyeok Bae, Jongho Lee et al.
Efficient Pre-training for Localized Instruction Generation of Procedural Videos
Anil Batra, Davide Moltisanti, Laura Sevilla-Lara et al.
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
Jihyeon Seong, Jungmin Kim, Jaesik Choi
CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection
Wei-Yu Lee, Martin Dimitrievski, David Van Hamme et al.
Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-driven Diffusion
Jian Ma, Wenguan Wang, Yi Yang et al.
Depth-guided NeRF Training via Earth Mover’s Distance
Anita Rau, Josiah Aklilu, Floyd C Holsinger et al.
Text Motion Translator: A Bi-Directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions
Yijun Qian, Jack Urbanek, Alexander Hauptmann et al.
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations
Zhi Qin Tan, Olga Isupova, Gustavo Carneiro et al.
CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching
Samia Shafique, Shu Kong, Charless Fowlkes