Loy, C.C.[Chen Change]
* 2008: From local temporal correlation to global anomaly detection
* 2009: Modelling Activity Global Temporal Dependencies Using Time Delayed Probabilistic Graphical Model
* 2009: Modelling Multi-object Activity by Gaussian Processes
* 2009: Multi-camera activity correlation analysis
* 2010: Stream-Based Active Unusual Event Detection
* 2010: Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding
* 2011: Detecting and discriminating behavioural anomalies
* 2012: Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies
* 2012: Feature Mining for Localised Crowd Counting
* 2012: Incremental Activity Modeling in Multiple Disjoint Cameras
* 2012: Person Re-identification: What Features Are Important?
* 2012: Stream-based joint exploration-exploitation active learning
* 2013: Cumulative Attribute Space for Age and Crowd Density Estimation
* 2013: From Semi-supervised to Transfer Counting of Crowds
* 2013: Person re-identification by manifold ranking
* 2013: POP: Person Re-identification Post-rank Optimisation
* 2013: Video Synopsis by Heterogeneous Multi-source Correlation
* 2014: Constructing Robust Affinity Graphs for Spectral Clustering
* 2014: Crowd Saliency Detection via Global Similarity Structure
* 2014: Facial Landmark Detection by Deep Multi-task Learning
* 2014: Learning a Deep Convolutional Network for Image Super-Resolution
* 2014: On-the-fly feature importance mining for person re-identification
* 2014: Person Re-Identification
* 2014: Scene-Independent Group Profiling in Crowd
* 2015: Compression Artifacts Reduction by a Deep Convolutional Network
* 2015: DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
* 2015: Deeply learned attributes for crowded scene understanding
* 2015: Face alignment by coarse-to-fine shape searching
* 2015: From Facial Parts Responses to Face Detection: A Deep Learning Approach
* 2015: large-scale car dataset for fine-grained categorization and verification, A
* 2015: Learning Social Relation Traits from Face Images
* 2015: Semantic Image Segmentation via Deep Parsing Network
* 2016: Accelerating the Super-Resolution Convolutional Neural Network
* 2016: Deep Cascaded Bi-Network for Face Hallucination
* 2016: Deep Specialized Network for Illuminant Estimation
* 2016: Depth Map Super-Resolution by Deep Multi-Scale Guidance
* 2016: Human Attribute Recognition by Deep Hierarchical Contexts
* 2016: Image Super-Resolution Using Deep Convolutional Networks
* 2016: Joint Face Representation Adaptation and Clustering in Videos
* 2016: Learning Deep Representation for Face Alignment with Auxiliary Attributes
* 2016: Learning Deep Representation for Imbalanced Classification
* 2016: Learning from Multiple Sources for Video Summarisation
* 2016: Pedestrian Color Naming via Convolutional Neural Network
* 2016: Sketch Me That Shoe
* 2016: Slicing Convolutional Neural Network for Crowd Video Understanding
* 2016: survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution, A
* 2016: Towards robust color recovery for high-capacity color QR codes
* 2016: Unconstrained Face Alignment via Cascaded Compositional Learning
* 2016: Unsupervised Learning of Discriminative Attributes and Visual Representations
* 2016: WIDER FACE: A Face Detection Benchmark
* 2017: Be Your Own Prada: Fashion Synthesis with Structural Coherence
* 2017: Crowded Scene Understanding by Deeply Learned Volumetric Slices
* 2017: DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks
* 2017: Discover and Learn New Objects from Documentaries
* 2017: Image Aesthetic Assessment: An experimental survey
* 2017: Image and Video Understanding in Big Data
* 2017: Learning Scene-Independent Group Descriptors for Crowd Understanding
* 2017: Learning to Disambiguate by Asking Discriminative Questions
* 2017: Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
* 2017: NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
* 2017: PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
* 2018: Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
* 2018: Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
* 2018: Deep Learning Markov Random Field for Semantic Segmentation
* 2018: Devil of Face Recognition Is in the Noise, The
* 2018: ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
* 2018: Faceness-Net: Face Detection through Deep Facial Part Responses
* 2018: From Facial Expression Recognition to Interpersonal Relation Prediction
* 2018: Lifelong Learning via Progressive Distillation and Retrospection
* 2018: LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
* 2018: Optimizing Video Object Detection via a Scale-Time Lattice
* 2018: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
* 2018: PSANet: Point-wise Spatial Attention Network for Scene Parsing
* 2018: ReenactGAN: Learning to Reenact Faces via Boundary Transfer
* 2018: Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications
* 2018: Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation
* 2018: Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
* 2019: CARAFE: Content-Aware ReAssembly of FEatures
* 2019: Deep Flow-Guided Video Inpainting
* 2019: Deep Network Interpolation for Continuous Imagery Effect Transition
* 2019: Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
* 2019: Dense Intrinsic Appearance Flow for Human Pose Transfer
* 2019: Editorial: Special Issue on Deep Learning for Face Analysis
* 2019: Hybrid Task Cascade for Instance Segmentation
* 2019: Learning a Unified Classifier Incrementally via Rebalancing
* 2019: Learning Lightweight Lane Detection CNNs by Self Attention Distillation
* 2019: Learning to Cluster Faces on an Affinity Graph
* 2019: Region Proposal by Guided Anchoring
* 2019: Robust Multi-Modality Multi-Object Tracking
* 2019: Self-Supervised Learning via Conditional Motion Propagation
* 2019: TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation
* 2020: Deep Imbalanced Learning for Face Recognition and Attribute Prediction
* 2020: DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
* 2020: EcoNAS: Finding Proxies for Economical Neural Architecture Search
* 2020: Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
* 2020: High-Quality Video Generation from Static Structural Annotations
* 2020: Inter-Region Affinity Distillation for Road Marking Segmentation
* 2020: Knowledge Distillation Meets Self-Supervision
* 2020: Learning to Cluster Faces via Confidence and Connectivity Estimation
* 2020: LiteFlownet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
* 2020: Mead: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation
* 2020: MessyTable: Instance Association in Multiple Camera Views
* 2020: Online Deep Clustering for Unsupervised Representation Learning
* 2020: Prime Sample Attention in Object Detection
* 2020: RGB-D Salient Object Detection with Cross-modality Modulation and Selection
* 2020: Self-Supervised Scene De-Occlusion
* 2020: Side-aware Boundary Localization for More Precise Object Detection
* 2020: TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
* 2020: Tsit: A Simple and Versatile Framework for Image-to-image Translation
* 2020: Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
* 2021: Audio-Driven Emotional Video Portraits
* 2021: BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
* 2021: Deep Animation Video Interpolation in the Wild
* 2021: FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
* 2021: Focal Frequency Loss for Image Reconstruction and Synthesis
* 2021: GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
* 2021: Lightweight Optical Flow CNN: Revisiting Data Fidelity and Regularization, A
* 2021: Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements
* 2021: NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
* 2021: NTIRE 2021 Challenge on Video Super-Resolution
* 2021: Pareidolia Face Reenactment
* 2021: Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
* 2021: Positional Encoding as Spatial Inductive Bias in GANs
* 2021: ReconfigISP: Reconfigurable Camera Image Processing Pipeline
* 2021: Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
* 2021: Robust Reference-based Super-Resolution via C2-Matching
* 2021: Seesaw Loss for Long-Tailed Instance Segmentation
* 2021: Talk-to-Edit: Fine-Grained Facial Editing via Dialog
* 2021: Texture Memory-Augmented Deep Patch-Based Image Inpainting
* 2021: Unsupervised 3D Shape Completion through GAN Inversion
* 2022: Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
* 2022: BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
* 2022: BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis
* 2022: CARAFE++: Unified Content-Aware ReAssembly of FEatures
* 2022: CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
* 2022: Chasing the Tail in Monocular 3D Human Reconstruction With Prototype Memory
* 2022: Conditional Prompt Learning for Vision-Language Models
* 2022: Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
* 2022: Delving into Inter-Image Invariance for Unsupervised Visual Representations
* 2022: Dense Siamese Network for Dense Unsupervised Learning
* 2022: Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
* 2022: Extract Free Dense Labels from CLIP
* 2022: HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling
* 2022: Investigating Tradeoffs in Real-World Video Super-Resolution
* 2022: Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
* 2022: Learning to Prompt for Vision-Language Models
* 2022: LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark
* 2022: Low-Light Image and Video Enhancement Using Deep Learning: A Survey
* 2022: Mind the Gap in Distilling StyleGANs
* 2022: MIPI 2022 Challenge on Quad-Bayer Re-Mosaic: Dataset and Report
* 2022: MIPI 2022 Challenge on RGB+TOF Depth Completion: Dataset and Report
* 2022: MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report
* 2022: MIPI 2022 Challenge on RGBW Sensor Re-Mosaic: Dataset and Report
* 2022: MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results
* 2022: Monocular 3D Object Reconstruction with GAN Inversion
* 2022: Open-Vocabulary DETR with Conditional Matching
* 2022: Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
* 2022: Path-Restore: Learning Network Path Selection for Image Restoration
* 2022: Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
* 2022: StyleGAN-Human: A Data-Centric Odyssey of Human Generation
* 2022: StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
* 2022: TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
* 2022: Transformer with Implicit Edges for Particle-Based Physics Simulation
* 2022: Unsupervised Image-to-Image Translation with Generative Prior
* 2022: Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
* 2023: Aligning Bag of Regions for Open-Vocabulary Object Detection
* 2023: Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis
* 2023: Bailando++: 3D Dance GPT With Choreographic Memory
* 2023: BeautyREC: Robust, Efficient, and Component-Specific Makeup Transfer
* 2023: Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
* 2023: CelebV-Text: A Large-Scale Facial Text-Video Dataset
* 2023: Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
* 2023: Correlational Image Modeling for Self-Supervised Visual Pre-Training
* 2023: Deep Geometrized Cartoon Line Inbetweening
* 2023: DeformToon3d: Deformable Neural Radiance Fields for 3D Toonification
* 2023: DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
* 2023: Domain Generalization: A Survey
* 2023: FlexiCurve: Flexible Piecewise Curves Estimation for Photo Retouching
* 2023: Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
* 2023: GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond
* 2023: GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation
* 2023: Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
* 2023: Learning Generative Structure Prior for Blind Text Image Super-resolution
* 2023: MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
* 2023: MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
* 2023: MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results
* 2023: MIPI 2023 Challenge on RGBW Fusion: Methods and Results
* 2023: MIPI 2023 Challenge on RGBW Remosaic: Methods and Results
* 2023: Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior
* 2023: Panoptic Video Scene Graph Generation
* 2023: Reference-Based Image and Video Super-Resolution via C^2-Matching
* 2023: Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation
* 2023: Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
* 2023: Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
* 2023: Semi-Supervised Domain Generalization with Stochastic StyleMatch
* 2023: Siamese DETR
* 2023: SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
* 2023: StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces
* 2023: StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
* 2023: Text2Performer: Text-Driven Human Video Generation
* 2023: Towards Multi-Layered 3D Garments Animation
* 2023: Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation
* 2024: Correspondence Distillation from NeRF-Based GAN
* 2024: Network pruning via resource reallocation
* 2024: Talk-to-Edit: Fine-Grained 2D and 3D Facial Editing via Dialog
* 2024: Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations
Includes: Loy, C.C.[Chen Change] Loy, C.C. Loy, C.C.[Chen-Change]
206 for Loy, C.C.
Loy, G.
* 2002: adaptive fusion architecture for target tracking, An
* 2002: Fast Radial Symmetry Transform for Detecting Points of Interest, A
* 2003: Fast radial symmetry for detecting points of interest
* 2003: Pose-based clustering in action sequences
* 2004: Fast Shape-based Road Sign Detection for a Driver Assistance System
* 2004: Monocular 3D Reconstruction of Human Motion in Long Action Sequences
* 2005: Regular Polygon Detection
* 2006: Detecting Bilateral Symmetry in Perspective
* 2006: Detecting Rotational Symmetry Under Affine Projection
* 2006: Detecting Symmetry and Symmetric Constellations of Features
* 2007: Efficient Symmetry Detection Using Local Affine Frames
* 2010: regular polygon detector, The
Includes: Loy, G. Loy, G.[Gareth]
12 for Loy, G.
Loy, L.Y.[Liang Yu]
* 2012: Artifact correction with robust statistics for non-stationary intracranial pressure signal monitoring
* 2012: Online ICP forecast for patients with traumatic brain injury
Loy, R.
* 2007: SMARTCLASSYSURV: A Smart Camera Network for Distributed Tracking and Activity Recognition and its Application to Assisted Living
Loy, W.W.
* 1982: On-Line Procedure for Recognition of Handprinted Alphanumeric Characters, An