Search Results for author: Chen Feng

Found 46 papers, 21 papers with code

Enhancing VVC with Deep Learning based Multi-Frame Post-Processing

no code implementations19 May 2022 Duolikun Danier, Chen Feng, Fan Zhang, David Bull

This paper describes a CNN-based multi-frame post-processing approach based on a perceptually-inspired Generative Adversarial Network architecture, CVEGAN.

Image Compression

Egocentric Prediction of Action Target in 3D

no code implementations CVPR 2022 Yiming Li, Ziang Cao, Andrew Liang, Benjamin Liang, Luoyao Chen, Hang Zhao, Chen Feng

We are interested in anticipating as early as possible the target location of a person's object manipulation action in a 3D workspace from egocentric vision.

Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting

no code implementations CVPR 2022 Min Shi, Hao Lu, Chen Feng, Chengxin Liu, Zhiguo Cao

In this work, we propose a similarity-aware CAC framework that jointly learns representation and similarity metric.

An Empirical Study of Low Precision Quantization for TinyML

no code implementations10 Mar 2022 Shaojie Zhuo, Hongyu Chen, Ramchalam Kinattinkara Ramakrishnan, Tommy Chen, Chen Feng, Yicheng Lin, Parker Zhang, Liang Shen

In this study, we focus on post-training quantization (PTQ) algorithms that quantize a model to low-bit (less than 8-bit) precision with only a small set of calibration data and benchmark them on different tinyML use cases.

Model Compression Quantization

Deep VQA based on a Novel Hybrid Training Methodology

no code implementations17 Feb 2022 Chen Feng, Fan Zhang, David R. Bull

In recent years, deep learning techniques have been widely applied to video quality assessment (VQA), showing significant potential to achieve higher correlation performance with subjective opinions compared to conventional approaches.

Video Quality Assessment Visual Question Answering

V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving

no code implementations17 Feb 2022 Yiming Li, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng

Vehicle-to-everything (V2X), which denotes the collaboration between a vehicle and any entity in its surrounding, can fundamentally improve the perception in self-driving systems.

Autonomous Driving

S3: Supervised Self-supervised Learning under Label Noise

no code implementations22 Nov 2021 Chen Feng, Georgios Tzimiropoulos, Ioannis Patras

Despite the large progress in supervised learning with Neural Networks, there are significant challenges in obtaining high-quality, large-scale and accurately labeled datasets.

Image Classification Self-Supervised Learning

Learning Distilled Collaboration Graph for Multi-Agent Perception

1 code implementation NeurIPS 2021 Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang

Our approach is validated on V2X-Sim 1. 0, a large-scale multi-agent perception dataset that we synthesized using CARLA and SUMO co-simulation.

3D Object Detection Knowledge Distillation +1

NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences

no code implementations18 Oct 2021 Diwei Sheng, Yuxiang Chai, Xinru Li, Chen Feng, Jianzhe Lin, Claudio Silva, John-Ross Rizzo

Visual place recognition (VPR) is critical in not only localization and mapping for autonomous driving vehicles, but also assistive navigation for the visually impaired population.

Autonomous Driving Benchmark +2

Self-supervised Spatial Reasoning on Multi-View Line Drawings

1 code implementation CVPR 2022 Siyuan Xiang, Anbang Yang, Yanfei Xue, Yaoqing Yang, Chen Feng

Based on the fact that self-supervised learning is helpful when a large number of data are available, we propose two self-supervised learning approaches to improve the baseline performance for view consistency reasoning and camera pose reasoning tasks on the SPARE3D dataset.

Contrastive Learning Multi-class Classification +1

Deep Weakly Supervised Positioning

no code implementations10 Apr 2021 Ruoyu Wang, Xuchu Xu, Li Ding, Yang Huang, Chen Feng

PoseNet can map a photo to the position where it is taken, which is appealing in robotics.

Simultaneous Navigation and Construction Benchmarking Environments

1 code implementation31 Mar 2021 Wenyu Han, Chen Feng, Haoran Wu, Alexander Gao, Armand Jordana, Dong Liu, Lerrel Pinto, Ludovic Righetti

We need intelligent robots for mobile construction, the process of navigating in an environment and modifying its structure according to a geometric design.

Visual Navigation

Fooling LiDAR Perception via Adversarial Trajectory Perturbation

1 code implementation ICCV 2021 Yiming Li, Congcong Wen, Felix Juefei-Xu, Chen Feng

LiDAR point clouds collected from a moving vehicle are functions of its trajectories, because the sensor motion needs to be compensated to avoid distortions.

3D Object Detection Autonomous Vehicles +2

Mobile Construction Benchmark

no code implementations1 Jan 2021 Wenyu Han, Chen Feng, Haoran Wu, Alexander Gao, Armand Jordana, Dongdong Liu, Lerrel Pinto, Ludovic Righetti

We need intelligent robots to perform mobile construction, the process of moving in an environment and modifying its geometry according to a design plan.


AETree: Areal Spatial Data Generation

no code implementations1 Jan 2021 Congcong Wen, Wenyu Han, Hang Zhao, Chen Feng

Areal spatial data represent not only geographical locations but also sizes and shapes of physical objects such as buildings in a city.

Siamese Anchor Proposal Network for High-Speed Aerial Tracking

1 code implementation19 Dec 2020 Changhong Fu, Ziang Cao, Yiming Li, Junjie Ye, Chen Feng

In the domain of visual tracking, most deep learning-based trackers highlight the accuracy but casting aside efficiency.

Visual Tracking

Video Compression with CNN-based Post Processing

no code implementations16 Sep 2020 Fan Zhang, Di Ma, Chen Feng, David R. Bull

In recent years, video compression techniques have been significantly challenged by the rapidly increased demands associated with high quality and immersive video content.

Video Compression

DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression

1 code implementation10 Aug 2020 Changhong Fu, Fangqiang Ding, Yiming Li, Jin Jin, Chen Feng

By repressing the response of distractors in the regressor learning, we can dynamically and adaptively alter our regression target to leverage the tracking robustness as well as adaptivity.

Real-Time Visual Tracking

Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization

1 code implementation10 Aug 2020 Fangqiang Ding, Changhong Fu, Yiming Li, Jin Jin, Chen Feng

Current unmanned aerial vehicle (UAV) visual tracking algorithms are primarily limited with respect to: (i) the kind of size variation they can deal with, (ii) the implementation speed which hardly meets the real-time requirement.

Translation Visual Tracking

SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings

1 code implementation CVPR 2020 Wenyu Han, Siyuan Xiang, Chenhui Liu, Ruoyu Wang, Chen Feng

Our experiments show that although convolutional networks have achieved superhuman performance in many visual learning tasks, their spatial reasoning performance on SPARE3D tasks is either lower than average human performance or even close to random guesses.

A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder

no code implementations4 Mar 2020 Chen Feng, Jianzong Wang, Tongxu Li, Junqing Peng, Jing Xiao

Recently, the speaker clustering model based on aggregation hierarchy cluster (AHC) is a common method to solve two main problems: no preset category number clustering and fix category number clustering.

Incentive Analysis of Bitcoin-NG, Revisited

no code implementations14 Jan 2020 Jianyu Niu, Ziyu Wang, Fangyu Gai, Chen Feng

First, we propose a new incentive analysis that takes the network capacity into account, showing that Bitcoin-NG can still maintain incentive compatibility against the microblock mining attack even under limited network capacity.

Cryptography and Security Distributed, Parallel, and Cluster Computing

Regularizing Neural Networks via Minimizing Hyperspherical Energy

1 code implementation CVPR 2020 Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song

Inspired by the Thomson problem in physics where the distribution of multiple propelling electrons on a unit sphere can be modeled via minimizing some potential energy, hyperspherical energy minimization has demonstrated its potential in regularizing neural networks and improving their generalization power.

Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering

no code implementations11 May 2019 Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian

The experimental results show that (1) the proposed networks outperform the state-of-the-art methods in various tasks; (2) a graph topology can be inferred as auxiliary information without specific supervision on graph topology inference; and (3) graph filtering refines the reconstruction, leading to better performances.

3D Point Cloud Reconstruction General Classification +1

Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter

1 code implementation1 May 2019 Xi Xiong, Kaan Ozbay, Li Jin, Chen Feng

In this paper we propose a novel O-D prediction framework combining heterogeneous prediction in graph neural networks and Kalman filter to recognize spatial and temporal patterns simultaneously.

Real-time Soft Body 3D Proprioception via Deep Vision-based Sensing

1 code implementation8 Apr 2019 Ruoyu Wang, Shiheng Wang, Songyu Du, Erdong Xiao, Wenzhen Yuan, Chen Feng

Soft bodies made from flexible and deformable materials are popular in many robotics applications, but their proprioceptive sensing has been a long-standing challenge.


Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution

no code implementations12 Mar 2019 Chen Feng, Tao Sheng, Zhiyu Liang, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Matthew Ardi, Alexander C. Berg, Yiran Chen, Bo Chen, Kent Gauen, Yung-Hsiang Lu

The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual competition started in 2015 that encourages joint hardware and software solutions for computer vision systems with low latency and power.

Computer Vision Quantization

DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds

1 code implementation CVPR 2019 Li Ding, Chen Feng

We propose DeepMapping, a novel registration framework using deep neural networks (DNNs) as auxiliary functions to align multiple point clouds from scratch to a globally consistent frame.

Point Cloud Registration

Primitive Fitting Using Deep Boundary Aware Geometric Segmentation

1 code implementation3 Oct 2018 Duanshun Li, Chen Feng

To identify and fit geometric primitives (e. g., planes, spheres, cylinders, cones) in a noisy point cloud is a challenging yet beneficial task for fields such as robotics and reverse engineering.

Semantic Segmentation

Simultaneous Edge Alignment and Learning

3 code implementations ECCV 2018 Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz

Edge detection is among the most fundamental vision problems for its role in perceptual grouping and its wide applications.

Edge Detection Representation Learning

VLASE: Vehicle Localization by Aggregating Semantic Edges

1 code implementation6 Jul 2018 Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam

In this paper, we propose VLASE, a framework to use semantic edge features from images to achieve on-road localization.

Image Retrieval

A Quantization-Friendly Separable Convolution for MobileNets

no code implementations22 Mar 2018 Tao Sheng, Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Mickey Aleksic

As deep learning (DL) is being rapidly pushed to edge computing, researchers invented various ways to make inference computation more efficient on mobile/IoT devices, such as network pruning, parameter compression, and etc.

Edge-computing Image Classification +2

Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling

1 code implementation CVPR 2018 Yiru Shen, Chen Feng, Yaoqing Yang, Dong Tian

Unlike on images, semantic learning on 3D point clouds using a deep network is challenging due to the naturally unordered data structure.

Point Cloud Registration

FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation

4 code implementations CVPR 2018 Yaoqing Yang, Chen Feng, Yiru Shen, Dong Tian

Recent deep networks that directly handle points in a point set, e. g., PointNet, have been state-of-the-art for supervised learning tasks on point clouds such as classification and segmentation.

3D Point Cloud Linear Classification General Classification +1

CASENet: Deep Category-Aware Semantic Edge Detection

11 code implementations CVPR 2017 Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam

To this end, we propose a novel end-to-end deep semantic edge learning architecture based on ResNet and a new skip-layer architecture where category-wise edge activations at the top convolution layer share and are fused with the same set of bottom layer features.

Edge Detection Object Proposal Generation +1

Fast Resampling of 3D Point Clouds via Graphs

no code implementations11 Feb 2017 Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovačević

We use a general feature-extraction operator to represent application-dependent features and propose a general reconstruction error to evaluate the quality of resampling.

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