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09/21/2023
ORTexME: Occlusion-Robust Human Shape and Pose via Temporal Average Texture and Mesh Encoding
In 3D human shape and pose estimation from a monocular video, models tra...
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08/17/2023
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
Exploring spatial-temporal dependencies from observed motions is one of ...
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05/20/2023
Dynamic Transformers Provide a False Sense of Efficiency
Despite much success in natural language processing (NLP), pre-trained l...
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05/19/2023
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
Sensitivity to severe occlusion and large view angles limits the usage s...
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03/29/2023
Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
Talking face generation, also known as speech-to-lip generation, reconst...
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03/24/2023
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
Object detection at night is a challenging problem due to the absence of...
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03/20/2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Learning to predict agent motions with relationship reasoning is importa...
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11/27/2022
Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
Estimating reflectance layer from a single image is a challenging task. ...
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11/16/2022
TransCC: Transformer-based Multiple Illuminant Color Constancy Using Multitask Learning
Multi-illuminant color constancy is a challenging problem with only a fe...
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10/06/2022
Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal
Few existing image defogging or dehazing methods consider dense and non-...
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08/25/2022
Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons
In multi-person 2D pose estimation, the bottom-up methods simultaneously...
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07/21/2022
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression
Night images suffer not only from low light, but also from uneven distri...
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07/21/2022
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network
Shadow removal from a single image is generally still an open problem. M...
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05/29/2022
Feature-Aligned Video Raindrop Removal with Temporal Constraints
Existing adherent raindrop removal methods focus on the detection of the...
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05/02/2022
Dual networks based 3D Multi-Person Pose Estimation from Monocular Video
Monocular 3D human pose estimation has made progress in recent years. Mo...
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05/07/2021
Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior
Human-Object Interaction (HOI) detection aims to detect visual relations...
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10/15/2020
Object Tracking Using Spatio-Temporal Future Prediction
Occlusion is a long-standing problem that causes many modern tracking me...
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10/13/2020
Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization
Estimating 3D human poses from a monocular video is still a challenging ...
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10/08/2020
Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement
A few methods have been proposed to estimate the CRF from a single image...
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04/04/2020
Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning
In dense foggy scenes, existing optical flow methods are erroneous. This...
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12/16/2019
Single Image Deraining: From Model-Based to Data-Driven and Beyond
Rain removal or deraining methods attempt to restore the clean backgroun...
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09/30/2019
Depth Estimation in Nighttime using Stereo-Consistent Cyclic Translations
Most existing methods of depth from stereo are designed for daytime scen...
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07/23/2019
GraphX^NET- Chest X-Ray Classification Under Extreme Minimal Supervision
The task of classifying X-ray data is a problem of both theoretical and ...
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06/20/2019
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian
We consider the task of classifying when an extremely reduced amount of ...
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04/10/2019
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
Most deraining works focus on rain streaks removal but they cannot deal ...
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01/17/2019
Certainty-Driven Consistency Loss for Semi-supervised Learning
The recently proposed semi-supervised learning methods exploit consisten...
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12/11/2018
Loss Guided Activation for Action Recognition in Still Images
One significant problem of deep-learning based human action recognition ...
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12/19/2017
Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network
Given a single input rainy image, our goal is to visually remove rain st...
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11/28/2017
Attentive Generative Adversarial Network for Raindrop Removal from a Single Image
Raindrops adhered to a glass window or camera lens can severely hamper t...
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09/25/2016
Deep Joint Rain Detection and Removal from a Single Image
In this paper, we address a rain removal problem from a single image, ev...
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04/04/2016