Search Results for author: Tat-Jen Cham

Found 19 papers, 6 papers with code

Learning Progressive Joint Propagation for Human Motion Prediction

no code implementations ECCV 2020 Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann

Last, in order to incorporate a general motion space for high-quality prediction, we build a memory-based dictionary, which aims to preserve the global motion patterns in training data to guide the predictions.

Human motion prediction motion prediction

Towards Unbiased Visual Emotion Recognition via Causal Intervention

no code implementations26 Jul 2021 Yuedong Chen, Xu Yang, Tat-Jen Cham, Jianfei Cai

Although much progress has been made in visual emotion recognition, researchers have realized that modern deep networks tend to exploit dataset characteristics to learn spurious statistical associations between the input and the target.

Causal Inference Emotion Recognition

Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition

1 code implementation12 Apr 2021 Chuanxia Zheng, Duy-Son Dao, Guoxian Song, Tat-Jen Cham, Jianfei Cai

In this work, we propose a higher-level scene understanding system to tackle both visible and invisible parts of objects and backgrounds in a given scene.

Instance Segmentation Scene Understanding +1

The Spatially-Correlative Loss for Various Image Translation Tasks

1 code implementation CVPR 2021 Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai

We propose a novel spatially-correlative loss that is simple, efficient and yet effective for preserving scene structure consistency while supporting large appearance changes during unpaired image-to-image (I2I) translation.

Self-Supervised Learning

TFill: Image Completion via a Transformer-Based Architecture

1 code implementation2 Apr 2021 Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai

Bridging distant context interactions is important for high quality image completion with large masks.

GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition

no code implementations6 Mar 2020 Yuedong Chen, Guoxian Song, Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, Jianming Zheng

Automatic facial action unit (AU) recognition has attracted great attention but still remains a challenging task, as subtle changes of local facial muscles are difficult to thoroughly capture.

Face Model Facial Action Unit Detection

Recovering Facial Reflectance and Geometry from Multi-view Images

no code implementations27 Nov 2019 Guoxian Song, Jianmin Zheng, Jianfei Cai, Tat-Jen Cham

While the problem of estimating shapes and diffuse reflectances of human faces from images has been extensively studied, there is relatively less work done on recovering the specular albedo.

Face Model

Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking

no code implementations6 May 2019 Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan

In this paper, we propose a generative framework that unifies depth-based 3D facial pose tracking and face model adaptation on-the-fly, in the unconstrained scenarios with heavy occlusions and arbitrary facial expression variations.

Face Model Pose Estimation +1

Unconstrained Facial Action Unit Detection via Latent Feature Domain

1 code implementation25 Mar 2019 Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, Xuequan Lu, Lizhuang Ma

Due to the combination of source AU-related information and target AU-free information, the latent feature domain with transferred source label can be learned by maximizing the target-domain AU detection performance.

Action Unit Detection Domain Adaptation +2

Pluralistic Image Completion

1 code implementation CVPR 2019 Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai

In this paper, we present an approach for \textbf{pluralistic image completion} -- the task of generating multiple and diverse plausible solutions for image completion.

Image Inpainting

Progress Regression RNN for Online Spatial-Temporal Action Localization in Unconstrained Videos

no code implementations1 Mar 2019 Bo Hu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan

Previous spatial-temporal action localization methods commonly follow the pipeline of object detection to estimate bounding boxes and labels of actions.

Object Detection Temporal Action Localization

Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset

no code implementations21 Jan 2019 Guoxian Song, Jianfei Cai, Tat-Jen Cham, Jianmin Zheng, Juyong Zhang, Henry Fuchs

Teleconference or telepresence based on virtual reality (VR) headmount display (HMD) device is a very interesting and promising application since HMD can provide immersive feelings for users.

Virtual Reality

T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks

1 code implementation ECCV 2018 Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai

Current methods for single-image depth estimation use training datasets with real image-depth pairs or stereo pairs, which are not easy to acquire.

Depth Estimation

Conditional Adversarial Synthesis of 3D Facial Action Units

no code implementations21 Feb 2018 Zhilei Liu, Guoxian Song, Jianfei Cai, Tat-Jen Cham, Juyong Zhang

Employing deep learning-based approaches for fine-grained facial expression analysis, such as those involving the estimation of Action Unit (AU) intensities, is difficult due to the lack of a large-scale dataset of real faces with sufficiently diverse AU labels for training.

Data Augmentation Image Generation

A Generative Model for Depth-Based Robust 3D Facial Pose Tracking

no code implementations CVPR 2017 Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan

We consider the problem of depth-based robust 3D facial pose tracking under unconstrained scenarios with heavy occlusions and arbitrary facial expression variations.

Face Model Pose Estimation +1

Modality and Component Aware Feature Fusion For RGB-D Scene Classification

no code implementations CVPR 2016 Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham

While convolutional neural networks (CNN) have been excellent for object recognition, the greater spatial variability in scene images typically meant that the standard full-image CNN features are suboptimal for scene classification.

Classification General Classification +2

MMSS: Multi-Modal Sharable and Specific Feature Learning for RGB-D Object Recognition

no code implementations ICCV 2015 Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham

We first construct deep CNN layers for color and depth separately, and then connect them with our carefully designed multi-modal layers, which fuse color and depth information by enforcing a common part to be shared by features of different modalities.

Object Recognition

Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes

no code implementations10 Jul 2015 Hai X. Pham, Chongyu Chen, Luc N. Dao, Vladimir Pavlovic, Jianfei Cai, Tat-Jen Cham

We introduce a novel robust hybrid 3D face tracking framework from RGBD video streams, which is capable of tracking head pose and facial actions without pre-calibration or intervention from a user.

3D Reconstruction Face Model

Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo

no code implementations CVPR 2014 Di Xu, Qi Duan, Jianming Zheng, Juyong Zhang, Jianfei Cai, Tat-Jen Cham

As a result, our approach is robust, stable and is able to efficiently recover high quality of surface details even starting with a coarse MVS.

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