Search Results for author: Hongdong Li

Found 97 papers, 34 papers with code

Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding

no code implementations ECCV 2020 Kaihao Zhang, Wenhan Luo, Wenqi Ren, Jingwen Wang Fang Zhao, Lin Ma , Hongdong Li

Moreover, even for single image based monocular deraining, many current methods fail to complete the task satisfactorily because they mostly rely on per pixel loss functions and ignoring semantic information.

Rain Removal Semantic Segmentation

Deep Novel View Synthesis from Colored 3D Point Clouds

1 code implementation ECCV 2020 Zhenbo Song, Wayne Chen, Dylan Campbell, Hongdong Li

We propose a new deep neural network which takes a colored 3D point cloud of a scene, and directly synthesizes a photo-realistic image from an arbitrary viewpoint.

Image Generation Novel View Synthesis

PluckerNet: Learn To Register 3D Line Reconstructions

no code implementations CVPR 2021 Liu Liu, Hongdong Li, Haodong Yao, Ruyi Zha

Aligning two partially-overlapped 3D line reconstructions in Euclidean space is challenging, as we need to simultaneously solve line correspondences and relative pose between reconstructions.

Lighting, Reflectance and Geometry Estimation From 360deg Panoramic Stereo

no code implementations CVPR 2021 Junxuan Li, Hongdong Li, Yasuyuki Matsushita

We propose a method for estimating high-definition spatially-varying lighting, reflectance, and geometry of a scene from 360deg stereo images.

Multi-level Motion Attention for Human Motion Prediction

1 code implementation17 Jun 2021 Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li

Whether based on recurrent or feed-forward neural networks, existing learning based methods fail to model the observation that human motion tends to repeat itself, even for complex sports actions and cooking activities.

Human motion prediction motion prediction

Shell Theory: A Statistical Model of Reality

1 code implementation IEEE Transactions on Pattern Analysis and Machine Intelligence 2021 Wen-Yan Lin, Siying Liu, Changhao Ren, Ngai-Man Cheung, Hongdong Li, Yasuyuki Matsushita

The foundational assumption of machine learning is that the data under consideration is separable into classes; while intuitively reasonable, separability constraints have proven remarkably difficult to formulate mathematically.

Anomaly Detection One-class classifier

Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance

1 code implementation CVPR 2021 Ziang Cheng, Hongdong Li, Yuta Asano, Yinqiang Zheng, Imari Sato

Recovering the 3D geometry of a purely texture-less object with generally unknown surface reflectance (e. g. non-Lambertian) is regarded as a challenging task in multi-view reconstruction.

3D Object Reconstruction 3D Reconstruction +1

Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior

no code implementations9 May 2021 Kaihao Zhang, Wenhan Luo, Yanjiang Yu, Wenqi Ren, Fang Zhao, Changsheng Li, Lin Ma, Wei Liu, Hongdong Li

We first use a coarse deraining network to reduce the rain streaks on the input images, and then adopt a pre-trained semantic segmentation network to extract semantic features from the coarse derained image.

Rain Removal Semantic Segmentation

Lighting, Reflectance and Geometry Estimation from 360$^{\circ}$ Panoramic Stereo

no code implementations20 Apr 2021 Junxuan Li, Hongdong Li, Yasuyuki Matsushita

We propose a method for estimating high-definition spatially-varying lighting, reflectance, and geometry of a scene from 360$^{\circ}$ stereo images.

One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet

no code implementations11 Apr 2021 Ziang Cheng, Hongdong Li, Richard Hartley, Yinqiang Zheng, Imari Sato

This paper proposes a simple method which solves an open problem of multi-view 3D-Reconstruction for objects with unknown and generic surface materials, imaged by a freely moving camera and a freely moving point light source.

3D Reconstruction Novel View Synthesis +1

Learning to Estimate Hidden Motions with Global Motion Aggregation

1 code implementation6 Apr 2021 Shihao Jiang, Dylan Campbell, Yao Lu, Hongdong Li, Richard Hartley

We demonstrate that the optical flow estimates in the occluded regions can be significantly improved without damaging the performance in non-occluded regions.

Optical Flow Estimation

Learning Optical Flow from a Few Matches

1 code implementation CVPR 2021 Shihao Jiang, Yao Lu, Hongdong Li, Richard Hartley

In this paper, we show that the dense correlation volume representation is redundant and accurate flow estimation can be achieved with only a fraction of elements in it.

Optical Flow Estimation

Self-Supervised Visibility Learning for Novel View Synthesis

1 code implementation CVPR 2021 Yujiao Shi, Hongdong Li, Xin Yu

We then warp and aggregate source view pixels to synthesize a novel view based on the estimated source-view visibility and target-view depth.

Novel View Synthesis

Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework

no code implementations23 Mar 2021 Kaihao Zhang, Dongxu Li, Wenhan Luo, Wen-Yan Lin, Fang Zhao, Wenqi Ren, Wei Liu, Hongdong Li

Video deraining is an important task in computer vision as the unwanted rain hampers the visibility of videos and deteriorates the robustness of most outdoor vision systems.

Rain Removal

Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priors

no code implementations21 Mar 2021 Kaihao Zhang, Rongqing Li, Yanjiang Yu, Wenhan Luo, Changsheng Li, Hongdong Li

Images captured in snowy days suffer from noticeable degradation of scene visibility, which degenerates the performance of current vision-based intelligent systems.

Image Restoration

Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal

no code implementations12 Mar 2021 Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Lin Ma, Hongdong Li

In addition, to further refine the result, a Differential-driven Dual Attention-in-Attention Model (D-DAiAM) is proposed with a "heavy-to-light" scheme to remove rain via addressing the unsatisfying deraining regions.

Rain Removal

Geometry-Guided Street-View Panorama Synthesis from Satellite Imagery

no code implementations2 Mar 2021 Yujiao Shi, Dylan Campbell, Xin Yu, Hongdong Li

Specifically, we observe that when a 3D point in the real world is visible in both views, there is a deterministic mapping between the projected points in the two-view images given the height information of this 3D point.

Image Generation

Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment

no code implementations15 Dec 2020 Yi Zhou, Hongdong Li, Laurent Kneip

The present paper reviews the classical problem of free-form curve registration and applies it to an efficient RGBD visual odometry system called Canny-VO, as it efficiently tracks all Canny edge features extracted from the images.

Visual Odometry

Depth Completion using Piecewise Planar Model

no code implementations6 Dec 2020 Yiran Zhong, Yuchao Dai, Hongdong Li

More specifically, we represent the desired depth map as a collection of 3D planar and the reconstruction problem is formulated as the optimization of planar parameters.

Depth Completion Visual Odometry

Efficient Depth Completion Using Learned Bases

no code implementations2 Dec 2020 Yiran Zhong, Yuchao Dai, Hongdong Li

The given sparse depth points are served as a data term to constrain the weighting process.

Depth Completion

PlueckerNet: Learn to Register 3D Line Reconstructions

1 code implementation2 Dec 2020 Liu Liu, Hongdong Li, Haodong Yao, Ruyi Zha

Aligning two partially-overlapped 3D line reconstructions in Euclidean space is challenging, as we need to simultaneously solve correspondences and relative pose between line reconstructions.

Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation

1 code implementation NeurIPS 2020 Jianyuan Wang, Yiran Zhong, Yuchao Dai, Kaihao Zhang, Pan Ji, Hongdong Li

Learning matching costs has been shown to be critical to the success of the state-of-the-art deep stereo matching methods, in which 3D convolutions are applied on a 4D feature volume to learn a 3D cost volume.

Optical Flow Estimation Stereo Matching

Hierarchical Neural Architecture Search for Deep Stereo Matching

1 code implementation NeurIPS 2020 Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, ZongYuan Ge

To reduce the human efforts in neural network design, Neural Architecture Search (NAS) has been applied with remarkable success to various high-level vision tasks such as classification and semantic segmentation.

Neural Architecture Search Semantic Segmentation +2

DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video

1 code implementation13 Oct 2020 Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li, Stephen Gould

This paper studies the task of temporal moment localization in a long untrimmed video using natural language query.

Dense Non-Rigid Structure from Motion: A Manifold Viewpoint

no code implementations15 Jun 2020 Suryansh Kumar, Luc van Gool, Carlos E. P. de Oliveira, Anoop Cherian, Yuchao Dai, Hongdong Li

Assuming that a deforming shape is composed of a union of local linear subspace and, span a global low-rank space over multiple frames enables us to efficiently model complex non-rigid deformations.

Structure from Motion

End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera

1 code implementation7 Jun 2020 Zhenbo Song, Jianfeng Lu, Tong Zhang, Hongdong Li

In this paper, we propose a monocular camera-based inter-vehicle distance and relative velocity estimation method based on end-to-end training of a deep neural network.

Optical Flow Estimation

Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching

1 code implementation CVPR 2020 Yujiao Shi, Xin Yu, Dylan Campbell, Hongdong Li

Cross-view geo-localization is the problem of estimating the position and orientation (latitude, longitude and azimuth angle) of a camera at ground level given a large-scale database of geo-tagged aerial (e. g., satellite) images.

Deblurring by Realistic Blurring

1 code implementation CVPR 2020 Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Bjorn Stenger, Wei Liu, Hongdong Li

To address this problem, we propose a new method which combines two GAN models, i. e., a learning-to-Blur GAN (BGAN) and learning-to-DeBlur GAN (DBGAN), in order to learn a better model for image deblurring by primarily learning how to blur images.

Deblurring

Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem

1 code implementation15 Mar 2020 Liu Liu, Dylan Campbell, Hongdong Li, Dingfu Zhou, Xibin Song, Ruigang Yang

Conventional absolute camera pose via a Perspective-n-Point (PnP) solver often assumes that the correspondences between 2D image pixels and 3D points are given.

Transferring Cross-domain Knowledge for Video Sign Language Recognition

no code implementations CVPR 2020 Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li

To this end, we extract news signs using a base WSLR model, and then design a classifier jointly trained on news and isolated signs to coarsely align these two domain features.

Sign Language Recognition

6DoF Object Pose Estimation via Differentiable Proxy Voting Loss

no code implementations10 Feb 2020 Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li

In this paper, we aim to reduce such errors by incorporating the distances between pixels and keypoints into our objective.

Pose Estimation

Few-shot Action Recognition with Permutation-invariant Attention

no code implementations ECCV 2020 Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz

Such encoded blocks are aggregated by permutation-invariant pooling to make our approach robust to varying action lengths and long-range temporal dependencies whose patterns are unlikely to repeat even in clips of the same class.

Action Recognition Few-Shot Learning +1

Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization

1 code implementation NeurIPS 2019 Yujiao Shi, Liu Liu, Xin Yu, Hongdong Li

The first step is to apply a regular polar transform to warp an aerial image such that its domain is closer to that of a ground-view panorama.

Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene

no code implementations19 Nov 2019 Suryansh Kumar, Yuchao Dai, Hongdong Li

We assume that a dynamic scene can be approximated by numerous piecewise planar surfaces, where each planar surface enjoys its own rigid motion, and the global change in the scene between two frames is as-rigid-as-possible (ARAP).

3D Reconstruction Structure from Motion

Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison

1 code implementation24 Oct 2019 Dongxu Li, Cristian Rodriguez Opazo, Xin Yu, Hongdong Li

Based on this new large-scale dataset, we are able to experiment with several deep learning methods for word-level sign recognition and evaluate their performances in large scale scenarios.

Action Classification Hand Gesture Recognition +2

Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention

1 code implementation20 Aug 2019 Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Fatemeh Sadat Saleh, Hongdong Li, Stephen Gould

Given an untrimmed video and a sentence as the query, the goal is to determine the starting, and the ending, of the relevant visual moment in the video, that corresponds to the query sentence.

Learning Trajectory Dependencies for Human Motion Prediction

3 code implementations ICCV 2019 Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li

In this paper, we propose a simple feed-forward deep network for motion prediction, which takes into account both temporal smoothness and spatial dependencies among human body joints.

Human motion prediction Human Pose Forecasting +2

Optimal Feature Transport for Cross-View Image Geo-Localization

1 code implementation11 Jul 2019 Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li

This paper proposes a novel Cross-View Feature Transport (CVFT) technique to explicitly establish cross-view domain transfer that facilitates feature alignment between ground and aerial images.

Image-Based Localization Metric Learning

Neural Collaborative Subspace Clustering

no code implementations24 Apr 2019 Tong Zhang, Pan Ji, Mehrtash Harandi, Wenbing Huang, Hongdong Li

We introduce the Neural Collaborative Subspace Clustering, a neural model that discovers clusters of data points drawn from a union of low-dimensional subspaces.

Noise-Aware Unsupervised Deep Lidar-Stereo Fusion

3 code implementations CVPR 2019 Xuelian Cheng, Yiran Zhong, Yuchao Dao, Pan Ji, Hongdong Li

In this paper, we present LidarStereoNet, the first unsupervised Lidar-stereo fusion network, which can be trained in an end-to-end manner without the need of ground truth depth maps.

Depth Completion Stereo Matching +1

Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes

1 code implementation CVPR 2019 Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li

In this paper, we propose Deep Epipolar Flow, an unsupervised optical flow method which incorporates global geometric constraints into network learning.

Optical Flow Estimation

Lending Orientation to Neural Networks for Cross-view Geo-localization

1 code implementation CVPR 2019 Liu Liu, Hongdong Li

The goal is to predict the spatial location of a ground-level query image by matching it to a large geotagged aerial image database (e. g., satellite imagery).

Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry

no code implementations3 Mar 2019 Dingfu Zhou, Yuchao Dai, Hongdong Li

Recovering the absolute metric scale from a monocular camera is a challenging but highly desirable problem for monocular camera-based systems.

Monocular Visual Odometry

Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images

no code implementations15 Feb 2019 Hao Zhu, Mantang Guo, Hongdong Li, Qing Wang, Antonio Robles-Kelly

We prove that the light field is a 2D series, thus, a specifically designed CNN-LSTM network is proposed to capture the continuity property of the EPI.

Super-Resolution

Dense Depth Estimation of a Complex Dynamic Scene without Explicit 3D Motion Estimation

no code implementations11 Feb 2019 Suryansh Kumar, Ram Srivatsav Ghorakavi, Yuchao Dai, Hongdong Li

Given per-pixel optical flow correspondences between two consecutive frames and, the sparse depth prior for the reference frame, we show that, we can effectively recover the dense depth map for the successive frames without solving for 3D motion parameters.

Depth Estimation Motion Estimation +1

The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation

no code implementations CVPR 2019 Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould

Determining the position and orientation of a calibrated camera from a single image with respect to a 3D model is an essential task for many applications.

Pose Estimation

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

no code implementations CVPR 2019 Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang

Specifically, we first segment each car with a pre-trained Mask R-CNN, and then regress towards its 3D pose and shape based on a deformable 3D car model with or without using semantic keypoints.

3D Car Instance Understanding Autonomous Driving

Stereo Computation for a Single Mixture Image

no code implementations ECCV 2018 Yiran Zhong, Yuchao Dai, Hongdong Li

This paper proposes an original problem of \emph{stereo computation from a single mixture image}-- a challenging problem that had not been researched before.

Stereo Matching Stereo Matching Hand

Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization

4 code implementations ICCV 2019 Liu Liu, Hongdong Li, Yuchao Dai

This paper tackles the problem of large-scale image-based localization (IBL) where the spatial location of a query image is determined by finding out the most similar reference images in a large database.

Image-Based Localization Representation Learning

3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes

no code implementations13 Aug 2018 Yiran Zhong, Yuchao Dai, Hongdong Li

This paper is concerned with the problem of how to better exploit 3D geometric information for dense semantic image labeling.

Open-World Stereo Video Matching with Deep RNN

no code implementations ECCV 2018 Yiran Zhong, Hongdong Li, Yuchao Dai

Deep Learning based stereo matching methods have shown great successes and achieved top scores across different benchmarks.

Stereo Matching Stereo Matching Hand

Action Anticipation By Predicting Future Dynamic Images

no code implementations1 Aug 2018 Cristian Rodriguez, Basura Fernando, Hongdong Li

Human action-anticipation methods predict what is the future action by observing only a few portion of an action in progress.

Action Anticipation Autonomous Driving +1

Semi-Dense 3D Reconstruction with a Stereo Event Camera

2 code implementations ECCV 2018 Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza

Event cameras are bio-inspired sensors that offer several advantages, such as low latency, high-speed and high dynamic range, to tackle challenging scenarios in computer vision.

3D Reconstruction Simultaneous Localization and Mapping

Structure from Recurrent Motion: From Rigidity to Recurrency

no code implementations CVPR 2018 Xiu Li, Hongdong Li, Hanbyul Joo, Yebin Liu, Yaser Sheikh

This paper proposes a new method for Non-Rigid Structure-from-Motion (NRSfM) from a long monocular video sequence observing a non-rigid object performing recurrent and possibly repetitive dynamic action.

Structure from Motion

Semantic Single-Image Dehazing

no code implementations16 Apr 2018 Ziang Cheng, ShaoDi You, Viorela Ila, Hongdong Li

In experiments, we validate our ap- proach upon synthetic and real hazy images, where our method showed superior performance over state-of-the-art approaches, suggesting semantic information facilitates the haze removal task.

Image Dehazing Single Image Dehazing +1

Adversarial Spatio-Temporal Learning for Video Deblurring

1 code implementation28 Mar 2018 Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Wei Liu, Hongdong Li

To tackle the second challenge, we leverage the developed DBLRNet as a generator in the GAN (generative adversarial network) architecture, and employ a content loss in addition to an adversarial loss for efficient adversarial training.

Deblurring

Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective

no code implementations CVPR 2018 Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li

To address these issues, in this paper, we propose a new approach for dense NRSfM by modeling the problem on a Grassmann manifold.

Structure from Motion

Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map

no code implementations ICCV 2017 Liu Liu, Hongdong Li, Yuchao Dai

In this paper, we introduce a global method which harnesses global contextual information exhibited both within the query image and among all the 3D points in the map.

3D Feature Matching Camera Localization

Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence

no code implementations ICCV 2017 Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li

Estimating the 6-DoF pose of a camera from a single image relative to a pre-computed 3D point-set is an important task for many computer vision applications.

Pose Estimation

Self-Supervised Learning for Stereo Matching with Self-Improving Ability

no code implementations4 Sep 2017 Yiran Zhong, Yuchao Dai, Hongdong Li

Exiting deep-learning based dense stereo matching methods often rely on ground-truth disparity maps as the training signals, which are however not always available in many situations.

Self-Supervised Learning Stereo Matching +1

Adaptive Low-Rank Kernel Subspace Clustering

1 code implementation17 Jul 2017 Pan Ji, Ian Reid, Ravi Garg, Hongdong Li, Mathieu Salzmann

In this paper, we present a kernel subspace clustering method that can handle non-linear models.

Image Clustering Motion Segmentation

Pixel-variant Local Homography for Fisheye Stereo Rectification Minimizing Resampling Distortion

no code implementations12 Jul 2017 Dingfu Zhou, Yuchao Dai, Hongdong Li

First, we prove that there indeed exist enough degrees of freedom to apply pixel-wise local homography for stereo rectification.

3D Reconstruction Rectification +2

Spatial-Temporal Union of Subspaces for Multi-body Non-rigid Structure-from-Motion

no code implementations14 May 2017 Suryansh Kumar, Yuchao Dai, Hongdong Li

This spatio-temporal representation not only provides competitive 3D reconstruction but also outputs robust segmentation of multiple non-rigid objects.

3D Reconstruction Structure from Motion

Semi-Dense Visual Odometry for RGB-D Cameras Using Approximate Nearest Neighbour Fields

no code implementations6 Feb 2017 Yi Zhou, Laurent Kneip, Hongdong Li

This paper presents a robust and efficient semi-dense visual odometry solution for RGB-D cameras.

Visual Odometry

Multi-body Non-rigid Structure-from-Motion

no code implementations15 Jul 2016 Suryansh Kumar, Yuchao Dai, Hongdong Li

Recent progress have extended SFM to the areas of {multi-body SFM} (where there are {multiple rigid} relative motions in the scene), as well as {non-rigid SFM} (where there is a single non-rigid, deformable object or scene).

3D Reconstruction Structure from Motion

Robust and Efficient Relative Pose with a Multi-camera System for Autonomous Vehicle in Highly Dynamic Environments

no code implementations12 May 2016 Liu Liu, Hongdong Li, Yuchao Dai

When the solver is used in combination with RANSAC, we are able to quickly prune unpromising hypotheses, significantly improve the chance of finding inliers.

Motion Estimation

Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration

no code implementations11 May 2016 Jiaolong Yang, Hongdong Li, Dylan Campbell, Yunde Jia

The evaluation demonstrates that the proposed method is able to produce reliable registration results regardless of the initialization.

Robust Optical Flow Estimation of Double-Layer Images under Transparency or Reflection

no code implementations CVPR 2016 Jiaolong Yang, Hongdong Li, Yuchao Dai, Robby T. Tan

This paper deals with a challenging, frequently encountered, yet not properly investigated problem in two-frame optical flow estimation.

Optical Flow Estimation

Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals

no code implementations CVPR 2016 Gao Zhu, Fatih Porikli, Hongdong Li

Our method generates a small number of "high-quality" proposals by a novel instance-specific objectness measure and evaluates them against the object model that can be adopted from an existing tracking-by-detection approach as a core tracker.

Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry

no code implementations CVPR 2016 Yuchao Dai, Hongdong Li, Laurent Kneip

The vast majority of modern consumer-grade cameras employ a rolling shutter mechanism.

Learning Image Matching by Simply Watching Video

no code implementations19 Mar 2016 Gucan Long, Laurent Kneip, Jose M. Alvarez, Hongdong Li

This work presents an unsupervised learning based approach to the ubiquitous computer vision problem of image matching.

Neural Aggregation Network for Video Face Recognition

no code implementations CVPR 2017 Jiaolong Yang, Peiran Ren, Dong-Qing Zhang, Dong Chen, Fang Wen, Hongdong Li, Gang Hua

The network takes a face video or face image set of a person with a variable number of face images as its input, and produces a compact, fixed-dimension feature representation for recognition.

Face Recognition Face Verification

Robust Multi-body Feature Tracker: A Segmentation-free Approach

no code implementations CVPR 2016 Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong

Feature tracking is a fundamental problem in computer vision, with applications in many computer vision tasks, such as visual SLAM and action recognition.

Action Recognition Motion Segmentation

Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data

1 code implementation ICCV 2015 Pan Ji, Mathieu Salzmann, Hongdong Li

The Shape Interaction Matrix (SIM) is one of the earliest approaches to performing subspace clustering (i. e., separating points drawn from a union of subspaces).

Face Clustering Motion Segmentation

Tracking Randomly Moving Objects on Edge Box Proposals

no code implementations29 Jul 2015 Gao Zhu, Fatih Porikli, Hongdong Li

Our method generates a small number of "high-quality" proposals by a novel instance-specific objectness measure and evaluates them against the object model that can be adopted from an existing tracking-by-detection approach as a core tracker.

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

no code implementations CVPR 2013 Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

To encode the geometry of the manifold in the mapping, we introduce a family of provably positive definite kernels on the Riemannian manifold of SPD matrices.

Motion Segmentation Pedestrian Detection +1

A Framework for Shape Analysis via Hilbert Space Embedding

no code implementations13 Dec 2014 Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

We propose a framework for 2D shape analysis using positive definite kernels defined on Kendall's shape manifold.

General Classification

Optimizing Over Radial Kernels on Compact Manifolds

no code implementations CVPR 2014 Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

We tackle the problem of optimizing over all possible positive definite radial kernels on Riemannian manifolds for classification.

General Classification

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

no code implementations30 Nov 2014 Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

We then use the proposed framework to identify positive definite kernels on two specific manifolds commonly encountered in computer vision: the Riemannian manifold of symmetric positive definite matrices and the Grassmann manifold, i. e., the Riemannian manifold of linear subspaces of a Euclidean space.

Iteratively Reweighted Graph Cut for Multi-label MRFs with Non-convex Priors

no code implementations CVPR 2015 Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann, Hongdong Li

While widely acknowledged as highly effective in computer vision, multi-label MRFs with non-convex priors are difficult to optimize.

Expanding the Family of Grassmannian Kernels: An Embedding Perspective

no code implementations4 Jul 2014 Mehrtash T. Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard Hartley, Hongdong Li

Modeling videos and image-sets as linear subspaces has proven beneficial for many visual recognition tasks.

Winding Number for Region-Boundary Consistent Salient Contour Extraction

no code implementations CVPR 2013 Yansheng Ming, Hongdong Li, Xuming He

The main focus is given to how to maintain the consistency (compatibility) between the region cues and the boundary cues.

Boundary Detection

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