Search Results for author: Qi Chen

Found 46 papers, 19 papers with code

Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity

no code implementations19 Apr 2022 Qi Chen, Sourabh Vora

We propose a simple yet effective proposal-free architecture for lidar panoptic segmentation.

Classification Object Detection +1

Path Integral Method for Proportional Double-Barrier Step Option Pricing

no code implementations16 Dec 2021 Qi Chen, Chao Guo

Path integral method in quantum mechanics provides a new thinking for barrier option pricing.

PolarStream: Streaming Object Detection and Segmentation with Polar Pillars

no code implementations NeurIPS 2021 Qi Chen, Sourabh Vora, Oscar Beijbom

Recent works recognized lidars as an inherently streaming data source and showed that the end-to-end latency of lidar perception models can be reduced significantly by operating on wedge-shaped point cloud sectors rather then the full point cloud.

Object Detection

V2C: Visual Voice Cloning

no code implementations25 Nov 2021 Qi Chen, Yuanqing Li, Yuankai Qi, Jiaqiu Zhou, Mingkui Tan, Qi Wu

Existing Voice Cloning (VC) tasks aim to convert a paragraph text to a speech with desired voice specified by a reference audio.

TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking

4 code implementations17 Nov 2021 Delv Lin, Qi Chen, Chengyu Zhou, Kun He

To our knowledge, this is the first work on the adversarial attack against pedestrian MOT trackers.

Adversarial Attack Multi-Object Tracking +1

Fair Representation Learning through Implicit Path Alignment

no code implementations29 Sep 2021 Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné

Specifically, we formulated the problem as a bi-level optimization, where the representation is learned in the outer-level, and invariant optimal group predictors are updated in the inner-level.

Fairness Representation Learning

PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars

no code implementations14 Jun 2021 Qi Chen, Sourabh Vora, Oscar Beijbom

Recent works recognized lidars as an inherently streaming data source and showed that the end-to-end latency of lidar perception models can be reduced significantly by operating on wedge-shaped point cloud sectors rather then the full point cloud.

Object Detection

Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets

no code implementations27 Feb 2021 Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

To this end, we propose a Pareto-Frontier-aware Neural Architecture Generator (NAG) which takes an arbitrary budget as input and produces the Pareto optimal architecture for the target budget.

Towards Accurate and Compact Architectures via Neural Architecture Transformer

2 code implementations20 Feb 2021 Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang

To address this issue, we propose a Neural Architecture Transformer++ (NAT++) method which further enlarges the set of candidate transitions to improve the performance of architecture optimization.

Neural Architecture Search

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding

1 code implementation16 Dec 2020 Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan YAO

However, these deep generative models may suffer from the mode collapse issue, which significantly degrades the diversity and quality of generated results.

Font Generation

Modular Graph Attention Network for Complex Visual Relational Reasoning

no code implementations22 Nov 2020 Yihan Zheng, Zhiquan Wen, Mingkui Tan, Runhao Zeng, Qi Chen, YaoWei Wang, Qi Wu

Moreover, to capture the complex logic in a query, we construct a relational graph to represent the visual objects and their relationships, and propose a multi-step reasoning method to progressively understand the complex logic.

Graph Attention Question Answering +5

CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles

no code implementations24 Sep 2020 Jingda Guo, Dominic Carrillo, Sihai Tang, Qi Chen, Qing Yang, Song Fu, Xi Wang, Nannan Wang, Paparao Palacharla

To reduce the amount of transmitted data, feature map based fusion is recently proposed as a practical solution to cooperative 3D object detection by autonomous vehicles.

3D Object Detection Autonomous Vehicles

Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence

no code implementations30 Jul 2020 Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang

We reveal the incoherence between the widely-adopted empirical domain adversarial training and its generally-assumed theoretical counterpart based on $\mathcal{H}$-divergence.

Domain Adaptation Transfer Learning

GLOW : Global Weighted Self-Attention Network for Web Search

1 code implementation10 Jul 2020 Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo

Deep matching models aim to facilitate search engines retrieving more relevant documents by mapping queries and documents into semantic vectors in the first-stage retrieval.

Document Ranking Information Retrieval +1

DCANet: Learning Connected Attentions for Convolutional Neural Networks

no code implementations9 Jul 2020 Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu

With DCANet, all attention blocks in a CNN model are trained jointly, which improves the ability of attention learning.

Attention-guided Context Feature Pyramid Network for Object Detection

2 code implementations23 May 2020 Junxu Cao, Qi Chen, Jun Guo, Ruichao Shi

For object detection, how to address the contradictory requirement between feature map resolution and receptive field on high-resolution inputs still remains an open question.

Instance Segmentation Object Detection +1

Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only

1 code implementation CVPR 2020 Qi Chen, Qi Wu, Rui Tang, Yu-Han Wang, Shuai Wang, Mingkui Tan

To this end, we propose a House Plan Generative Model (HPGM) that first translates the language input to a structural graph representation and then predicts the layout of rooms with a Graph Conditioned Layout Prediction Network (GC LPN) and generates the interior texture with a Language Conditioned Texture GAN (LCT-GAN).

NAT: Neural Architecture Transformer for Accurate and Compact Architectures

1 code implementation NeurIPS 2019 Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

To verify the effectiveness of the proposed strategies, we apply NAT on both hand-crafted architectures and NAS based architectures.

Neural Architecture Search

MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity

1 code implementation SCiL 2020 Hai Hu, Qi Chen, Kyle Richardson, Atreyee Mukherjee, Lawrence S. Moss, Sandra Kuebler

We present a new logic-based inference engine for natural language inference (NLI) called MonaLog, which is based on natural logic and the monotonicity calculus.

Data Augmentation Natural Language Inference

F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds

1 code implementation13 Sep 2019 Qi Chen

Autonomous vehicles are heavily reliant upon their sensors to perfect the perception of surrounding environments, however, with the current state of technology, the data which a vehicle uses is confined to that from its own sensors.

3D Object Detection Autonomous Driving +2

FPCNet: Fast Pavement Crack Detection Network Based on Encoder-Decoder Architecture

no code implementations4 Jul 2019 Wenjun Liu, Yuchun Huang, Ying Li, Qi Chen

Specifically, we first propose the Multi-Dilation (MD) module, which can synthesize the crack features of multiple context sizes via dilated convolution with multiple rates.

Semi-parametric Bayesian variable selection for gene-environment interactions

3 code implementations3 Jun 2019 Jie Ren, Fei Zhou, Xiaoxi Li, Qi Chen, Hongmei Zhang, Shuangge Ma, Yu Jiang, Cen Wu

Existing Bayesian methods for G$\times$E interaction studies are challenged by the high-dimensional nature of the study and the complexity of environmental influences.

Methodology

Natural Language Inference with Monotonicity

no code implementations WS 2019 Hai Hu, Qi Chen, Larry Moss

This paper describes a working system which performs natural language inference using polarity-marked parse trees.

Natural Language Inference

Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis

1 code implementation27 Mar 2019 Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan

To address this issue, we develop a novel GAN called Auto-Embedding Generative Adversarial Network (AEGAN), which simultaneously encodes the global structure features and captures the fine-grained details.

Image Generation Scene Understanding

DUNet: A deformable network for retinal vessel segmentation

no code implementations3 Nov 2018 Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su

Results show that more detailed vessels are extracted by DUNet and it exhibits state-of-the-art performance for retinal vessel segmentation with a global accuracy of 0. 9697/0. 9722/0. 9724 and AUC of 0. 9856/0. 9868/0. 9863 on DRIVE, STARE and CHASE_DB1 respectively.

Retinal Vessel Segmentation

Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning

no code implementations EMNLP 2018 Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang

The lack of labeled data is one of the main challenges when building a task-oriented dialogue system.

Active Learning

Semantic Segmentation for Urban Planning Maps based on U-Net

no code implementations28 Sep 2018 Zhiling Guo, Hiroaki Shengoku, Guangming Wu, Qi Chen, Wei Yuan, Xiaodan Shi, Xiaowei Shao, Yongwei Xu, Ryosuke Shibasaki

The results indicate the proposed method can serve as a viable tool for urban planning map semantic segmentation task with high accuracy and efficiency.

Semantic Segmentation

Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss

no code implementations19 Sep 2018 Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, JieZhang Cao, Peilin Zhao, Mingkui Tan

However, most deep learning methods employ feed-forward architectures, and thus the dependencies between LR and HR images are not fully exploited, leading to limited learning performance.

Image Super-Resolution

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

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

A Hierarchical Distributed Processing Framework for Big Image Data

no code implementations3 Jul 2016 Le Dong, Zhiyu Lin, Yan Liang, Ling He, Ning Zhang, Qi Chen, Xiaochun Cao, Ebroul lzquierdo

The proposed ICP framework consists of two mechanisms, i. e. SICP (Static ICP) and DICP (Dynamic ICP).

Data classification using the Dempster-Shafer method

no code implementations2 Sep 2014 Qi Chen, Amanda Whitbrook, Uwe Aickelin, Chris Roadknight

In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data classification systems.

Classification General Classification

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