Search Results for author: Heng Yang

Found 32 papers, 17 papers with code

Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

no code implementations22 Mar 2023 Heng Yang, Marco Pavone

Geometric uncertainty propagation, on the other, propagates the geometric constraints on the keypoints to the 6D object pose, leading to a Pose UnceRtainty SEt (PURSE) that guarantees coverage of the groundtruth pose with the same probability.

Conformal Prediction Keypoint Detection

Few-shot Font Generation by Learning Style Difference and Similarity

no code implementations24 Jan 2023 Xiao He, Mingrui Zhu, Nannan Wang, Xinbo Gao, Heng Yang

To address this issue, we propose a novel font generation approach by learning the Difference between different styles and the Similarity of the same style (DS-Font).

Contrastive Learning Font Generation

Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization Feature Space

1 code implementation NIPS 2022 De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu

We show that the cycle-consistency regularization helps to minimize the volume of the transition matrix T indirectly without exploiting the estimated noisy class posterior, which could further encourage the estimated transition matrix T to converge to its optimal solution.

Augmentor or Filter? Reconsider the Role of Pre-trained Language Model in Text Classification Augmentation

1 code implementation6 Oct 2022 Heng Yang, Ke Li

Our study shows that even employing pre-trained language models, existing text augmentation methods generate numerous low-quality instances and lead to the feature space shift problem in augmentation instances.

Language Modelling Sentiment Analysis +4

PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis

2 code implementations2 Aug 2022 Heng Yang, Ke Li

The advancement of aspect-based sentiment analysis (ABSA) has urged the lack of a user-friendly framework that can largely lower the difficulty of reproducing state-of-the-art ABSA performance, especially for beginners.

Aspect-Based Sentiment Analysis (ABSA) Data Augmentation +4

Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints

no code implementations24 Jun 2022 Jingnan Shi, Heng Yang, Luca Carlone

We consider an active shape model, where -- for an object category -- we are given a library of potential CAD models describing objects in that category, and we adopt a standard formulation where pose and shape are estimated from 2D or 3D keypoints via non-convex optimization.

Vehicle Pose Estimation

Evolutionary Multi-Task Injection Testing on Web Application Firewalls

1 code implementation12 Jun 2022 Ke Li, Heng Yang, Willem Visser

In this paper, we propose DaNuoYi, an automatic injection testing tool that simultaneously generates test inputs for multiple types of injection attacks on a WAF.

Multi-Task Learning Translation

Improving Implicit Sentiment Learning via Local Sentiment Aggregation

1 code implementation16 Oct 2021 Heng Yang, Ke Li

Compared to existing methods, LSA is an efficient approach that learns the implicit sentiments in a local sentiment aggregation window, which tackles the efficiency problem and avoids the token-node alignment problem of syntax-based methods.

Aspect-Based Sentiment Analysis (ABSA) Sentiment Classification +1

Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization

2 code implementations7 Sep 2021 Heng Yang, Luca Carlone

Our third contribution is to solve the SDP relaxations at an unprecedented scale and accuracy by presenting STRIDE, a solver that blends global descent on the convex SDP with fast local search on the nonconvex POP.

Pose Estimation

Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment

no code implementations9 Jun 2021 Baoyun Peng, Min Liu, Heng Yang, Zhaoning Zhang, Dongsheng Li

Based on the proposed quality measurement, we propose a deep Tiny Face Quality network (tinyFQnet) to learn a quality prediction function from data.

Face Image Quality Face Image Quality Assessment +1

An Inexact Projected Gradient Method with Rounding and Lifting by Nonlinear Programming for Solving Rank-One Semidefinite Relaxation of Polynomial Optimization

1 code implementation28 May 2021 Heng Yang, Ling Liang, Luca Carlone, Kim-Chuan Toh

In particular, we first design a globally convergent inexact projected gradient method (iPGM) for solving the SDP that serves as the backbone of our framework.

Optimal Pose and Shape Estimation for Category-level 3D Object Perception

no code implementations16 Apr 2021 Jingnan Shi, Heng Yang, Luca Carlone

Our first contribution is to provide the first certifiably optimal solver for pose and shape estimation.

Translation Vehicle Pose Estimation

Dynamical Pose Estimation

1 code implementation ICCV 2021 Heng Yang, Chris Doran, Jean-Jacques Slotine

We study the problem of aligning two sets of 3D geometric primitives given known correspondences.

Point Cloud Registration Pose Estimation

Self-supervised Geometric Perception

2 code implementations CVPR 2021 Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun

We present self-supervised geometric perception (SGP), the first general framework to learn a feature descriptor for correspondence matching without any ground-truth geometric model labels (e. g., camera poses, rigid transformations).

Point Cloud Registration Pose Estimation

ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants

no code implementations7 Nov 2020 Jingnan Shi, Heng Yang, Luca Carlone

We also show that in practice the maximum k-core of the compatibility graph provides an approximation of the maximum clique, while being faster to compute in large problems.


Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding

2 code implementations2 Oct 2020 Heng Yang, Biqing Zeng

Target-oriented sentiment classification is a fine-grained task of natural language processing to analyze the sentiment polarity of the targets.

Aspect-Based Sentiment Analysis (ABSA) Classification +2

Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications

no code implementations29 Jul 2020 Pasquale Antonante, Vasileios Tzoumas, Heng Yang, Luca Carlone

We extend ADAPT and GNC to the case where the user does not have prior knowledge of the inlier-noise statistics (or the statistics may vary over time) and is unable to guess a reasonable threshold to separate inliers from outliers (as the one commonly used in RANSAC).

Association object-detection +1

One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers

1 code implementation NeurIPS 2020 Heng Yang, Luca Carlone

We propose the first general and practical framework to design certifiable algorithms for robust geometric perception in the presence of a large amount of outliers.

Pose Estimation

A Dynamical Perspective on Point Cloud Registration

no code implementations7 May 2020 Heng Yang

We provide a dynamical perspective on the classical problem of 3D point cloud registration with correspondences.

Point Cloud Registration

TEASER: Fast and Certifiable Point Cloud Registration

5 code implementations21 Jan 2020 Heng Yang, Jingnan Shi, Luca Carlone

We propose the first fast and certifiable algorithm for the registration of two sets of 3D points in the presence of large amounts of outlier correspondences.

object-detection Object Detection +2

A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

5 code implementations17 Dec 2019 Heng Yang, Biqing Zeng, JianHao Yang, Youwei Song, Ruyang Xu

Aspect-based sentiment analysis (ABSA) task is a multi-grained task of natural language processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity classification (APC).

Aspect-Based Sentiment Analysis (ABSA) General Classification +2

Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

4 code implementations18 Sep 2019 Heng Yang, Pasquale Antonante, Vasileios Tzoumas, Luca Carlone

In this paper, we enable the simultaneous use of non-minimal solvers and robust estimation by providing a general-purpose approach for robust global estimation, which can be applied to any problem where a non-minimal solver is available for the outlier-free case.

Pose Estimation

A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers

4 code implementations ICCV 2019 Heng Yang, Luca Carlone

Our first contribution is to formulate the Wahba problem using a Truncated Least Squares (TLS) cost that is insensitive to a large fraction of spurious correspondences.

A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates

2 code implementations20 Mar 2019 Heng Yang, Luca Carlone

We propose a robust approach for the registration of two sets of 3D points in the presence of a large amount of outliers.


SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners

no code implementations14 Jun 2018 Huiyuan Zhuo, Xuelin Qian, Yanwei Fu, Heng Yang, xiangyang xue

In this paper, we proposed a novel filter pruning for convolutional neural networks compression, namely spectral clustering filter pruning with soft self-adaption manners (SCSP).

Model Compression

Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving

no code implementations17 Apr 2018 Jiaolong Xu, Peng Wang, Heng Yang, Antonio M. López

Autonomous driving has harsh requirements of small model size and energy efficiency, in order to enable the embedded system to achieve real-time on-board object detection.

Autonomous Driving object-detection +2

An Empirical Study of Recent Face Alignment Methods

no code implementations16 Nov 2015 Heng Yang, Xuhui Jia, Chen Change Loy, Peter Robinson

In this paper, we carry out a rigorous evaluation of these methods by making the following contributions: 1) we proposes a new evaluation metric for face alignment on a set of images, i. e., area under error distribution curve within a threshold, AUC$_\alpha$, given the fact that the traditional evaluation measure (mean error) is very sensitive to big alignment error.

Face Alignment Face Detection

Human and Sheep Facial Landmarks Localisation by Triplet Interpolated Features

no code implementations16 Sep 2015 Heng Yang, Renqiao Zhang, Peter Robinson

Furthermore, we study the impact of training data imbalance on model performance and propose a training sample augmentation scheme that produces more initialisations for training samples from the minority.

Face Alignment Assisted by Head Pose Estimation

1 code implementation11 Jul 2015 Heng Yang, Wenxuan Mou, Yichi Zhang, Ioannis Patras, Hatice Gunes, Peter Robinson

In this paper we propose a supervised initialization scheme for cascaded face alignment based on explicit head pose estimation.

Face Alignment Head Pose Estimation

Mirror, mirror on the wall, tell me, is the error small?

no code implementations CVPR 2015 Heng Yang, Ioannis Patras

Our experiments lead to several interesting findings: 1) Surprisingly, most of state of the art methods struggle to preserve the mirror symmetry, despite the fact that they do have very similar overall performance on the original and mirror images; 2) the low mirrorability is not caused by training or testing sample bias - all algorithms are trained on both the original images and their mirrored versions; 3) the mirror error is strongly correlated to the localization/alignment error (with correlation coefficients around 0. 7).

Face Alignment Pose Estimation

Separation of Line Drawings Based on Split Faces for 3D Object Reconstruction

no code implementations CVPR 2014 Changqing Zou, Heng Yang, Jianzhuang Liu

Reconstructing 3D objects from single line drawings is often desirable in computer vision and graphics applications.

3D Object Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.