Search Results for author: Weichao Qiu

Found 21 papers, 7 papers with code

Simulated Adversarial Testing of Face Recognition Models

no code implementations CVPR 2022 Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan Yuille, Stan Sclaroff

In this work, we propose a framework for learning how to test machine learning algorithms using simulators in an adversarial manner in order to find weaknesses in the model before deploying it in critical scenarios.

BIG-bench Machine Learning Face Recognition

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation

1 code implementation ICCV 2021 Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, Xiaolong Wang

To deal with the large shape variance, we introduce Articulated Signed Distance Functions (A-SDF) to represent articulated shapes with a disentangled latent space, where we have separate codes for encoding shape and articulation.

Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation

no code implementations30 Nov 2020 Qihao Liu, Weichao Qiu, Weiyao Wang, Gregory D. Hager, Alan L. Yuille

We propose an unsupervised vision-based system to estimate the joint configurations of the robot arm from a sequence of RGB or RGB-D images without knowing the model a priori, and then adapt it to the task of category-independent articulated object pose estimation.

Optical Flow Estimation Pose Estimation

AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild

2 code implementations26 Oct 2020 Zhe Zhang, Chunyu Wang, Weichao Qiu, Wenhu Qin, Wenjun Zeng

To make the task truly unconstrained, we present AdaFuse, an adaptive multiview fusion method, which can enhance the features in occluded views by leveraging those in visible views.

3D Human Pose Estimation

Learning from Synthetic Animals

2 code implementations CVPR 2020 Jiteng Mu, Weichao Qiu, Gregory Hager, Alan Yuille

Despite great success in human parsing, progress for parsing other deformable articulated objects, like animals, is still limited by the lack of labeled data.

Domain Adaptation Human Parsing +1

Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints

no code implementations9 Dec 2019 Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille

Scene context is a powerful constraint on the geometry of objects within the scene in cases, such as surveillance, where the camera geometry is unknown and image quality may be poor.

Car Pose Estimation

DASZL: Dynamic Action Signatures for Zero-shot Learning

no code implementations8 Dec 2019 Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan Yuille, Gregory D. Hager

There are many realistic applications of activity recognition where the set of potential activity descriptions is combinatorially large.

Action Detection Activity Detection +3

RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition

no code implementations3 Dec 2019 Yi Zhang, Xinyue Wei, Weichao Qiu, Zihao Xiao, Gregory D. Hager, Alan Yuille

In this paper, we propose the Randomized Simulation as Augmentation (RSA) framework which augments real-world training data with synthetic data to improve the robustness of action recognition networks.

Action Recognition Temporal Action Localization

Identifying Model Weakness with Adversarial Examiner

no code implementations25 Nov 2019 Michelle Shu, Chenxi Liu, Weichao Qiu, Alan Yuille

Different from the existing strategy to always give the same (distribution of) test data, the adversarial examiner will dynamically select the next test data to hand out based on the testing history so far, with the goal being to undermine the model's performance.

Autonomous Driving

Patch-based 3D Human Pose Refinement

no code implementations20 May 2019 Qingfu Wan, Weichao Qiu, Alan L. Yuille

State-of-the-art 3D human pose estimation approaches typically estimate pose from the entire RGB image in a single forward run.

Pose Prediction

CRAVES: Controlling Robotic Arm with a Vision-based Economic System

1 code implementation CVPR 2019 Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille

We also construct a vision-based control system for task accomplishment, for which we train a reinforcement learning agent in a virtual environment and apply it to the real-world.

3D Pose Estimation Domain Adaptation

Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data

1 code implementation ICCV 2019 Yutong Bai, Qing Liu, Lingxi Xie, Weichao Qiu, Yan Zheng, Alan Yuille

In particular, this enables images in the training dataset to be matched to a virtual 3D model of the object (for simplicity, we assume that the object viewpoint can be estimated by standard techniques).

Semantic Part Detection

SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data

no code implementations1 Apr 2018 Qi Chen, Weichao Qiu, Yi Zhang, Lingxi Xie, Alan Yuille

But, this raises an important problem in active vision: given an {\bf infinite} data space, how to effectively sample a {\bf finite} subset to train a visual classifier?

Classification General Classification

Adversarial Attacks Beyond the Image Space

no code implementations CVPR 2019 Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi Keung Tang, Alan L. Yuille

Though image-space adversaries can be interpreted as per-pixel albedo change, we verify that they cannot be well explained along these physically meaningful dimensions, which often have a non-local effect.

Question Answering Visual Question Answering +1

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond

no code implementations ICCV 2017 Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan Yuille

We argue that estimation of object scales in images is helpful for generating object proposals, especially for supermarket images where object scales are usually within a small range.

Object Proposal Generation

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision

no code implementations14 Dec 2016 Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan Yuille

We generate a large synthetic image dataset with automatically computed hazardous regions and analyze algorithms on these regions.

Image Generation

UnrealCV: Connecting Computer Vision to Unreal Engine

1 code implementation5 Sep 2016 Weichao Qiu, Alan Yuille

Computer graphics can not only generate synthetic images and ground truth but it also offers the possibility of constructing virtual worlds in which: (i) an agent can perceive, navigate, and take actions guided by AI algorithms, (ii) properties of the worlds can be modified (e. g., material and reflectance), (iii) physical simulations can be performed, and (iv) algorithms can be learnt and evaluated.

Navigate Physical Simulations

Ground-truth dataset and baseline evaluations for image base-detail separation algorithms

no code implementations21 Nov 2015 Xuan Dong, Boyan Bonev, Weixin Li, Weichao Qiu, Xianjie Chen, Alan Yuille

Base-detail separation is a fundamental computer vision problem consisting of modeling a smooth base layer with the coarse structures, and a detail layer containing the texture-like structures.

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