Invasive alien plants (IAPs) are considered to be one of the greatest threats to global biodiversity and ecosystems. 11: 2825. Biomol. He, Autonomous deployment for load balancing ksurface coverage in sensor networks, IEEE Transactions on Wireless Communication, vol. Person re-identification (Re-ID) is a key technology used in the field of intelligent surveillance. Covering all aspects of tree and hedge workin Hampshire, Surrey and Berkshire, Highly qualified to NPTC standardsand have a combined 17 years industry experience. Department of Computer ScienceRm 301 Chow Yei Ching Building The University of Hong Kong Pokfulam, Hong Kong 301, Email: emailProtector.addCloakedMailto("ep_1dcca321", 1); 73, March - April, (2016), pp. Included in the analysis is a method for automatic anatomical landmark localization based on convolutional neural networks. Author to whom correspondence should be addressed. Train a deep learning LSTM network for sequence-to-label classification. ; Baldeck, C.A. No Problem, Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism, On Generalizing Beyond Domains in Cross-Domain Continual Learning, Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries, DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion, Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning, En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning, VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning, Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning, KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning, Non-Generative Generalized Zero-Shot Learning via Task-Correlated Disentanglement and Controllable Samples Synthesis, WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery, Unsupervised Learning of Accurate Siamese Tracking, Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds, GMFlow: Learning Optical Flow via Global Matching, GridShift: A Faster Mode-Seeking Algorithm for Image Segmentation and Object Tracking, SNUG: Self-Supervised Neural Dynamic Garments, Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction, Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation, Context-Aware Sequence Alignment Using 4D Skeletal Augmentation, Enabling Equivariance for Arbitrary Lie Groups, Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks, RCP: Recurrent Closest Point for Point Cloud, Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis, Balanced Multimodal Learning via On-the-Fly Gradient Modulation, Block-NeRF: Scalable Large Scene Neural View Synthesis, SceneSqueezer: Learning To Compress Scene for Camera Relocalization, Extracting Triangular 3D Models, Materials, and Lighting From Images, Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3), Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models, It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher, NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks, Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention, Parameter-Free Online Test-Time Adaptation, Patch-Level Representation Learning for Self-Supervised Vision Transformers, Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization, Mixed Differential Privacy in Computer Vision, DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis, Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning, On the Instability of Relative Pose Estimation and RANSAC's Role, Bootstrapping ViTs: Towards Liberating Vision Transformers From Pre-Training, Global Sensing and Measurements Reuse for Image Compressed Sensing, Maximum Consensus by Weighted Influences of Monotone Boolean Functions, MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph, Styleformer: Transformer Based Generative Adversarial Networks With Style Vector, Scanline Homographies for Rolling-Shutter Plane Absolute Pose, Self-Supervised Models Are Continual Learners, The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization, Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning, SimMIM: A Simple Framework for Masked Image Modeling, Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning, UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning, One-Bit Active Query With Contrastive Pairs, HCSC: Hierarchical Contrastive Selective Coding, Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging, Hierarchical Self-Supervised Representation Learning for Movie Understanding, Anomaly Detection via Reverse Distillation From One-Class Embedding, Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning, DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning, Learning To Collaborate in Decentralized Learning of Personalized Models, Highly-Efficient Incomplete Large-Scale Multi-View Clustering With Consensus Bipartite Graph, DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning, Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning, Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes, Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors, Spectral Unsupervised Domain Adaptation for Visual Recognition, DATA: Domain-Aware and Task-Aware Self-Supervised Learning, Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning, DeepDPM: Deep Clustering With an Unknown Number of Clusters, PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions, Robust Outlier Detection by De-Biasing VAE Likelihoods, Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data, CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding, Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation, DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation, WildNet: Learning Domain Generalized Semantic Segmentation From the Wild, UCC: Uncertainty Guided Cross-Head Co-Training for Semi-Supervised Semantic Segmentation, Semi-Supervised Semantic Segmentation With Error Localization Network, Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation, Integrative Few-Shot Learning for Classification and Segmentation. 6, (2019), M. Zhao, X. Jia, C. Tu, B. Mourrain, and W. Wang, Enumerating the morphologies of non-degenerate Darboux cyclides, Computer Aided Geometric Design, vol. Both nonoperative and operative treatment of proximal humerus fractures (PHF) and humeral shaft fractures can result in torsional side differences. Yan, R.; Peng, J.; Ma, D. Dimensionality reduction based on parallel factor analysis model and independent component analysis method. Early prediction of metabolic syndrome will highly impact the quality of life of patients as it gives them a chance for making a change to the bad habit and preventing a serious illness in the future. Cheng, W. Wang, H. Qin, K-Y K. Wong, H-P Yang and Y. Liu, Design and analysis of optimization methods for subdivision surface fitting, IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. All authors have read and agreed to the published version of the manuscript. Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning. 13, no. A comparison of methods for multiclass support vector machines. Bo, H. Schmiedhofer, W. Wang, N. Baldassini, and J. Wallner, Freeform surfaces from single curved panels, ACM Transactions on Graphics (SIGGRAPH 2008), vol. ; Liu, C. Online Detecting Magnet Defect Fault in PMSG With Magnetic Sensing. Bao, and W. Wang, Feature-aligned surface quadrangulation with element size control, ACM Transactions on Graphics, vol. Developing a prediction model that can quickly identify persons at high risk of MetS and offer them a treatment plan is crucial. Comparison of Support Vector Machine and Random Forest Algorithms for Invasive and Expansive Species Classification Using Airborne Hyperspectral Data. Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation, SEEG: Semantic Energized Co-Speech Gesture Generation, Mix and Localize: Localizing Sound Sources in Mixtures, Reading To Listen at the Cocktail Party: Multi-Modal Speech Separation, IntentVizor: Towards Generic Query Guided Interactive Video Summarization, M3L: Language-Based Video Editing via Multi-Modal Multi-Level Transformers, Finding Fallen Objects via Asynchronous Audio-Visual Integration, Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory, Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization, Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language, It's Time for Artistic Correspondence in Music and Video, Self-Supervised Object Detection From Audio-Visual Correspondence, More Than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech, ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer, A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection, Diffusion Autoencoders: Toward a Meaningful and Decodable Representation, Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps, Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values, Ensembling Off-the-Shelf Models for GAN Training, Marginal Contrastive Correspondence for Guided Image Generation, GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation, High-Resolution Image Synthesis With Latent Diffusion Models, Vector Quantized Diffusion Model for Text-to-Image Synthesis, ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-Wise Semantic Alignment and Generation, Dataset Distillation by Matching Training Trajectories, Continual Predictive Learning From Videos, Motion-Adjustable Neural Implicit Video Representation, Splicing ViT Features for Semantic Appearance Transfer, MAT: Mask-Aware Transformer for Large Hole Image Inpainting, Day-to-Night Image Synthesis for Training Nighttime Neural ISPs, Smooth-Swap: A Simple Enhancement for Face-Swapping With Smoothness, ClothFormer: Taming Video Virtual Try-On in All Module, Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation, PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision, GLAMR: Global Occlusion-Aware Human Mesh Recovery With Dynamic Cameras, Bailando: 3D Dance Generation by Actor-Critic GPT With Choreographic Memory, Contextual Instance Decoupling for Robust Multi-Person Pose Estimation, End-to-End Multi-Person Pose Estimation With Transformers, Meta Agent Teaming Active Learning for Pose Estimation, Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation, Not All Tokens Are Equal: Human-Centric Visual Analysis via Token Clustering Transformer, Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture, LASER: LAtent SpacE Rendering for 2D Visual Localization, Learning To Detect Scene Landmarks for Camera Localization, Geometric Transformer for Fast and Robust Point Cloud Registration, ARCS: Accurate Rotation and Correspondence Search, FisherMatch: Semi-Supervised Rotation Regression via Entropy-Based Filtering, Uni6D: A Unified CNN Framework Without Projection Breakdown for 6D Pose Estimation, CAFE: Learning To Condense Dataset by Aligning Features, Lite-MDETR: A Lightweight Multi-Modal Detector, DeeCap: Dynamic Early Exiting for Efficient Image Captioning, Searching the Deployable Convolution Neural Networks for GPUs, When To Prune? Acknowledgements are due the staff, particularly H. Spohn, L. Solomon, and A. Steinman, whose discussions with the author led to this article, and to Catherine S. Henderson, who typed the manuscript. The remainder of this paper is organized as follows. X.L. ; Van Kleunen, M. Do invasive alien plants benefit more from global environmental change than native plants? No special To determine a more appropriate pretreatment method, the next step is to analyze the impact of each processing method combined with dimension reduction. Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. The aim is to provide a snapshot of some of the Yu, and W.P. This method is not limited by operating conditions, nor does it require a large amount of fault operation data or a complex signal processing procedure. This Willow had a weak, low union of the two stems which showed signs of possible failure. Timely and accurate detection technology is needed to identify these invasive plants, helping to mitigate the damage to farmland, fruit trees and woodland. This work was supported by Key Laboratory of Electrical Machine System of Zhejiang Province. L Chu, H Pan, and W. Wang, Unsupervised shape completion via deep prior in the neural tangent kernel perspective, ACM Transactions on Graphics, vol. 4, 2013, Y.F. For more information, please refer to We use cookies on our website to ensure you get the best experience. Tu, B. Mourrain, and W. Wang, Complete classification and efficient determination of arrangements formed by two ellipsoids. : software. Zhang, W. Wang, Robust modeling of constant mean curvature surfaces, ACM Transactions on Graphics (SIGGRAPH 2012), vol. carbonated drinks). 6361-6370. While conventional X-ray or computed tomography would entail additional radiation exposure for the patient, and while magnetic resonance imaging might be associated with higher costs and is not suitable in cases of surgically treated fractures due to metal-induced artifacts, the sonographic measurement of humeral torsion represents a readily available and quickly performable measurement method without radiation exposure. Carlier, J.; Davis, E.; Ruas, S.; Byrne, D.; Caffrey, J.M. 450, 454, 458, 462, 466, 470, 474, 478, 482, 486, 494, 498, 502, 506, 510, 514, 518, 526, 530, 542, 598, 614, 738, 770, 834, 858, 934, 942, 450, 454, 458, 462, 466, 470, 474, 478, 482, 486, 490, 494, 510, 518, 526, 638, 658, 702, 798, 914, 450, 454, 458, 462, 466, 470, 474, 478, 482, 486, 494, 498, 502, 506, 510, 514, 518, 526, 530, 542, 578, 662, 774, 822, 950. Spectrosc. It is worth noting that the spectrum of SG-ACO-SVM was only 20-dimensional, while the spectrum of SG-SVM was 138-dimensional. 3, 2007. Dysgerminoma represents a rare malignant tumor composed of germ cells, originally from the embryonic gonads. and L.Y. 39, no. ; Xiao, G.S. He has been Chair Professor and Head (2012-2017) of the Department of Computer Science at the University of Hong Kong. Apical Lesions, one of the most common oral diseases, can be effectively detected in daily dental examinations by a periapical radiograph (PA). Guo, B.; Huang, Y.; Peng, F.; Dong, J. 345-356. Liu. Artificial intelligence (AI), a rousing advancement disrupting a wide spectrum of applications with remarkable betterment, has continued to gain momentum over the past decades. Explainable Transformer-Based Neural Network for the Prediction of Survival Outcomes in Non-Small Cell Lung Cancer (NSCLC). Xia, S.; Chen, B.; Wang, G.; Zheng, Y.; Gao, X.; Giem, E.; Chen, Z. mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework. On the one hand, only traditional machine learning models are used, on the other hand, SVM and RF is mostly suitable for binary classification [, Recent studies have used hyperspectral imaging combined with deep learning methods to monitor invasive plants [. https://www.mdpi.com/openaccess. ; Moutachaouik, H.; Hain, M. A Hybrid Gene Selection Strategy Based on Fisher and Ant Colony Optimization Algorithm for Breast Cancer Classification. Kim, Continuous collision detection for elliptic disks, IEEE Transactions on Robotics and Automation, vol. Estimating Requirements for Downstream Tasks, Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees, AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation, Selective-Supervised Contrastive Learning With Noisy Labels, RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks, Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction, Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels, Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design, Learning Structured Gaussians To Approximate Deep Ensembles, Out-of-Distribution Generalization With Causal Invariant Transformations, Split Hierarchical Variational Compression, Implicit Feature Decoupling With Depthwise Quantization, Understanding Uncertainty Maps in Vision With Statistical Testing, A Hybrid Quantum-Classical Algorithm for Robust Fitting, A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching, FastDOG: Fast Discrete Optimization on GPU, Data-Free Network Compression via Parametric Non-Uniform Mixed Precision Quantization, AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks, Training Quantised Neural Networks With STE Variants: The Additive Noise Annealing Algorithm, AME: Attention and Memory Enhancement in Hyper-Parameter Optimization, Efficient Maximal Coding Rate Reduction by Variational Forms, A Unified Framework for Implicit Sinkhorn Differentiation, Computing Wasserstein-p Distance Between Images With Linear Cost, An Iterative Quantum Approach for Transformation Estimation From Point Sets. IEEE Transactions on Visualization & Computer Graphics, vol. In order to be human-readable, please install an RSS reader. ResearchGate is a network dedicated to science and research. 1, (2015), pp. 6361-6370. Feature All of the aforementioned steps were coded and developed in the environment of MATLAB R2020a (The Math Works Inc., Natick, MA, USA). 4, (2020), X Long, L Liu, C Theobalt, and W. Wang, Occlusion-aware depth estimation with adaptive normal constraints, European Conference on Computer Vision (ECCV), 640-657, (2020), G Wei, Z Cui, Y Liu, N Chen, R Chen, G Li, and W Wang, TANet: Towards fully automatic tooth arrangement, European Conference on Computer Vision (ECCV), 481-497, (2020), C Lin, T Fan, W Wang, and M Niener, Modeling 3Dshapes by reinforcement learning, European Conference on Computer Vision (ECCV), 545-561,(2020), N.L. 36, no. R.T. Ling, J. Huang, B. Juettler, F. Sun, H.J. L Chu, H Pan, and W. Wang, Unsupervised shape completion via deep prior in the neural tangent kernel perspective, ACM Transactions on Graphics, vol. 1278-1290, W. Hu, Z. Chen, H. Pan, Y. Yu, E. Grinspun, and W. Wang, Surface mosaic synthesis with irregular tiles, IEEE Transactions on Visualization and Computer Graphics, vol. Ego4D: Around the World in 3,000 Hours of Egocentric Video, TransRAC: Encoding Multi-Scale Temporal Correlation With Transformers for Repetitive Action Counting, Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding, vCLIMB: A Novel Video Class Incremental Learning Benchmark, Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions, CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters, Failure Modes of Domain Generalization Algorithms, A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes, Grounding Answers for Visual Questions Asked by Visually Impaired People, Learning To Answer Questions in Dynamic Audio-Visual Scenarios, ScanQA: 3D Question Answering for Spatial Scene Understanding, Learning Part Segmentation Through Unsupervised Domain Adaptation From Synthetic Vehicles, BTS: A Bi-Lingual Benchmark for Text Segmentation in the Wild, Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation, Structured Sparse R-CNN for Direct Scene Graph Generation, PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation, RU-Net: Regularized Unrolling Network for Scene Graph Generation, Fine-Grained Predicates Learning for Scene Graph Generation, HL-Net: Heterophily Learning Network for Scene Graph Generation, SGTR: End-to-End Scene Graph Generation With Transformer, Classification-Then-Grounding: Reformulating Video Scene Graphs As Temporal Bipartite Graphs, RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition, Spatial Commonsense Graph for Object Localisation in Partial Scenes, The Pedestrian Next to the Lamppost : Adaptive Object Graphs for Better Instantaneous Mapping, Category-Aware Transformer Network for Better Human-Object Interaction Detection, Exploring Structure-Aware Transformer Over Interaction Proposals for Human-Object Interaction Detection, Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection, Human-Object Interaction Detection via Disentangled Transformer, MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection, GaTector: A Unified Framework for Gaze Object Prediction, STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes, Boosting Crowd Counting via Multifaceted Attention, Rethinking Spatial Invariance of Convolutional Networks for Object Counting, Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing, Collaborative Transformers for Grounded Situation Recognition, Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos, SVIP: Sequence VerIfication for Procedures in Videos, Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency, Exploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization, GateHUB: Gated History Unit With Background Suppression for Online Action Detection, E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition, Hybrid Relation Guided Set Matching for Few-Shot Action Recognition, Spatio-Temporal Relation Modeling for Few-Shot Action Recognition, Alignment-Uniformity Aware Representation Learning for Zero-Shot Video Classification, Cross-Modal Representation Learning for Zero-Shot Action Recognition, Cross-Modal Background Suppression for Audio-Visual Event Localization, Fine-Grained Temporal Contrastive Learning for Weakly-Supervised Temporal Action Localization, An Empirical Study of End-to-End Temporal Action Detection, Everything at Once - Multi-Modal Fusion Transformer for Video Retrieval, DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition, MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection, Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition, AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition, UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection, Detector-Free Weakly Supervised Group Activity Recognition, Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading, Efficient Two-Stage Detection of Human-Object Interactions With a Novel Unary-Pairwise Transformer, Interactiveness Field in Human-Object Interactions, GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection, Object-Relation Reasoning Graph for Action Recognition, UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection, Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition, SPAct: Self-Supervised Privacy Preservation for Action Recognition, Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering, InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition, Learning Video Representations of Human Motion From Synthetic Data, Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos, EyePAD++: A Distillation-Based Approach for Joint Eye Authentication and Presentation Attack Detection Using Periocular Images, Gait Recognition in the Wild With Dense 3D Representations and a Benchmark, Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification, Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition, DeepFace-EMD: Re-Ranking Using Patch-Wise Earth Mover's Distance Improves Out-of-Distribution Face Identification, Learning Second Order Local Anomaly for General Face Forgery Detection, PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition, Face2Exp: Combating Data Biases for Facial Expression Recognition, Local-Adaptive Face Recognition via Graph-Based Meta-Clustering and Regularized Adaptation, EMOCA: Emotion Driven Monocular Face Capture and Animation, Robust Egocentric Photo-Realistic Facial Expression Transfer for Virtual Reality, FaceVerse: A Fine-Grained and Detail-Controllable 3D Face Morphable Model From a Hybrid Dataset, ImFace: A Nonlinear 3D Morphable Face Model With Implicit Neural Representations, Physically-Guided Disentangled Implicit Rendering for 3D Face Modeling, RigNeRF: Fully Controllable Neural 3D Portraits, HeadNeRF: A Real-Time NeRF-Based Parametric Head Model, Sparse to Dense Dynamic 3D Facial Expression Generation, Learning To Listen: Modeling Non-Deterministic Dyadic Facial Motion, Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition, gDNA: Towards Generative Detailed Neural Avatars, GraFormer: Graph-Oriented Transformer for 3D Pose Estimation, Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation, Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis, PINA: Learning a Personalized Implicit Neural Avatar From a Single RGB-D Video Sequence, OSSO: Obtaining Skeletal Shape From Outside, LiDARCap: Long-Range Marker-Less 3D Human Motion Capture With LiDAR Point Clouds, Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression, Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation, LISA: Learning Implicit Shape and Appearance of Hands, MobRecon: Mobile-Friendly Hand Mesh Reconstruction From Monocular Image, Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-Based 3D Hand Pose and Mesh Estimation, Low-Resource Adaptation for Personalized Co-Speech Gesture Generation, D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions, Synthetic Generation of Face Videos With Plethysmograph Physiology, Contour-Hugging Heatmaps for Landmark Detection. 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