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09/09/2023
Deep Video Restoration for Under-Display Camera
Images or videos captured by the Under-Display Camera (UDC) suffer from ...
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07/27/2023
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement
Current deep learning methods for low-light image enhancement (LLIE) typ...
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07/16/2023
FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
Recent 4D shape representations model continuous temporal evolution of i...
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05/29/2023
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
Image restoration in adverse weather conditions is a difficult task in c...
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05/10/2023
iEdit: Localised Text-guided Image Editing with Weak Supervision
Diffusion models (DMs) can generate realistic images with text guidance ...
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04/26/2023
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning
3D pose transfer is a challenging generation task that aims to transfer ...
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04/03/2023
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching
Estimating the pose of an unseen object is the goal of the challenging o...
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03/15/2023
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
Analyzing the dynamic changes of cellular morphology is important for un...
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02/28/2023
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
We present Implicit Two Hands (Im2Hands), the first neural implicit repr...
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01/04/2023
MoBYv2AL: Self-supervised Active Learning for Image Classification
Active learning(AL) has recently gained popularity for deep learning(DL)...
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12/06/2022
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty
Semi-supervised object detection (SSOD) aims to boost detection performa...
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10/21/2022
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers
Learning based 6D object pose estimation methods rely on computing large...
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03/29/2022
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian
We propose a framework that can deform an object in a 2D image as it exi...
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03/28/2022
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division
Deep imitation learning requires many expert demonstrations, which can b...
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12/08/2021
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation
Editing facial expressions by only changing what we want is a long-stand...
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11/24/2021
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
Event cameras sense per-pixel intensity changes and produce asynchronous...
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11/17/2021
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
Semantically guided conditional Generative Adversarial Networks (cGANs) ...
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06/07/2021
Visual Transformer for Task-aware Active Learning
Pool-based sampling in active learning (AL) represents a key framework f...
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05/12/2021
Label Geometry Aware Discriminator for Conditional Generative Networks
Multi-domain image-to-image translation with conditional Generative Adve...
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05/05/2021
Learning Feature Aggregation for Deep 3D Morphable Models
3D morphable models are widely used for the shape representation of an o...
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04/08/2021
Geometry-based Distance Decomposition for Monocular 3D Object Detection
Monocular 3D object detection is of great significance for autonomous dr...
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03/25/2021
Adversarial Imitation Learning with Trajectorial Augmentation and Correction
Deep Imitation Learning requires a large number of expert demonstrations...
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10/01/2020
Active Learning for Bayesian 3D Hand Pose Estimation
We propose a Bayesian approximation to a deep learning architecture for ...
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09/30/2020
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
Manipulating facial expressions is a challenging task due to fine-graine...
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08/07/2020
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning
Dexterous manipulation of objects in virtual environments with our bare ...
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06/18/2020
Sequential Graph Convolutional Network for Active Learning
We propose a novel generic sequential Graph Convolution Network (GCN) tr...
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06/11/2020
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network
We propose a novel self-supervised semi-supervised learning approach for...
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03/30/2020
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
In this work, we study how well different type of approaches generalise ...
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03/27/2020
Tackling Two Challenges of 6D Object Pose Estimation: Lack of Real Annotated RGB Images and Scalability to Number of Objects
State-of-the-art methods for 6D object pose estimation typically train a...
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03/23/2020
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Endoscopy is a widely used imaging modality to diagnose and treat diseas...
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03/17/2020
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
Event cameras sense intensity changes and have many advantages over conv...
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03/13/2020
Inducing Optimal Attribute Representations for Conditional GANs
Conditional GANs are widely used in translating an image from one catego...
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01/28/2020
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators
Object pose recovery has gained increasing attention in the computer vis...
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10/23/2019
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction
Current 6D object pose methods consist of deep CNN models fully optimize...
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10/19/2019
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning
In this work, we explore how a strategic selection of camera movements c...
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09/10/2019
Sampling Strategies for GAN Synthetic Data
Generative Adversarial Networks (GANs) have been used widely to generate...
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07/22/2019
Real-time Background-aware 3D Textureless Object Pose Estimation
In this work, we present a modified fuzzy decision forest for real-time ...
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07/15/2019
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification
Augmenting data in image space (eg. flipping, cropping etc) and activati...
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07/11/2019
Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning
Cooperative game is a critical research area in multi-agent reinforcemen...
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07/11/2019
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
Cooperative game is a critical research area in multi-agent reinforcemen...
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04/08/2019
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering
Estimating 3D hand meshes from single RGB images is challenging, due to ...
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03/11/2019
Instance- and Category-level 6D Object Pose Estimation
6D object pose estimation is an important task that determines the 3D po...
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11/18/2018
RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images
This paper proposes a method for hand pose estimation from RGB images th...
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10/25/2018
HANDS18: Methods, Techniques and Applications for Hand Observation
This report outlines the proceedings of the Fourth International Worksho...
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10/09/2018
A Summary of the 4th International Workshop on Recovering 6D Object Pose
This document summarizes the 4th International Workshop on Recovering 6D...
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10/03/2018
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation
Human hand actions are quite complex, especially when they involve objec...
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08/24/2018
BOP: Benchmark for 6D Object Pose Estimation
We propose a benchmark for 6D pose estimation of a rigid object from a s...
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08/01/2018
Category-level 6D Object Pose Recovery in Depth Images
Intra-class variations, distribution shifts among source and target doma...
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06/11/2018
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios
In bin-picking scenarios, multiple instances of an object of interest ar...
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05/11/2018
