Hao Li

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University of Maryland ∙ Zhejiang University ∙ Shanghai Jiao Tong University ∙ Tencent ∙ Anhui USTC iFLYTEK Co ∙ NetEase, Inc

CEO/Co-Founder of Pinscreen, Computer Science Professor at USC, Director at the USC Institute for Creative Technologies

Featured Co-authors

Yang Liu
344 publications
Wei Zhang
186 publications
Wei Chen
161 publications
Liang Lin
156 publications
Hao Wang
143 publications
Yang Wang
137 publications
Xiaogang Wang
136 publications
Xin Li
132 publications
Qi Tian
126 publications
Yue Zhang
104 publications
Fei Wang
102 publications

1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification

This paper presents our proposed methods for domain adaptive pedestrian ...
12/25/2020 ∙ by Jianyang Gu, et al. ∙ 3 ∙ share

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AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy

Optimizers that further adjust the scale of gradient, such as Adam, Natu...
12/24/2020 ∙ by Zedong Tang, et al. ∙ 9 ∙ share

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Blurring Fools the Network – Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring

Existing pixel-level adversarial attacks on neural networks may be defic...
12/21/2020 ∙ by Chenchen Zhao, et al. ∙ 11 ∙ share

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Amplifying the Anterior-Posterior Difference via Data Enhancement – A More Robust Deep Monocular Orientation Estimation Solution

Existing deep-learning based monocular orientation estimation algorithms...
12/21/2020 ∙ by Chenchen Zhao, et al. ∙ 5 ∙ share

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Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks

Convolutional neural networks (CNN) have been more and more applied in m...
12/21/2020 ∙ by Chenchen Zhao, et al. ∙ 14 ∙ share

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AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition

The domain diversities including inconsistent annotation and varied imag...
12/18/2020 ∙ by Kai Wang, et al. ∙ 2 ∙ share

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An Event Correlation Filtering Method for Fake News Detection

Nowadays, social network platforms have been the prime source for people...
12/10/2020 ∙ by Hao Li, et al. ∙ 7 ∙ share

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SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition

Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a g...
12/07/2020 ∙ by Hao Li, et al. ∙ 0 ∙ share

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Hierarchical Semantic Aggregation for Contrastive Representation Learning

Self-supervised learning based on instance discrimination has shown rema...
12/04/2020 ∙ by Haohang Xu, et al. ∙ 3 ∙ share

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Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations

Contrastive learning has achieved great success in self-supervised visua...
11/19/2020 ∙ by Xinyue Huo, et al. ∙ 5 ∙ share

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ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras

Line segment detection is essential for high-level tasks in computer vis...
11/06/2020 ∙ by Hao Li, et al. ∙ 2 ∙ share

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Center-wise Local Image Mixture For Contrastive Representation Learning

Recent advances in unsupervised representation learning have experienced...
11/05/2020 ∙ by Hao Li, et al. ∙ 2 ∙ share

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Data Augmentation for End-to-end Code-switching Speech Recognition

Training a code-switching end-to-end automatic speech recognition (ASR) ...
11/04/2020 ∙ by Chenpeng Du, et al. ∙ 11 ∙ share

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DeviceTTS: A Small-Footprint, Fast, Stable Network for On-Device Text-to-Speech

With the number of smart devices increasing, the demand for on-device te...
10/29/2020 ∙ by Zhiying Huang, et al. ∙ 0 ∙ share

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Speakerfilter-Pro: an improved target speaker extractor combines the time domain and frequency domain

This paper introduces an improved target speaker extractor, referred to ...
10/25/2020 ∙ by Shulin He, et al. ∙ 10 ∙ share

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Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation

We propose a general framework for searching surrogate losses for mainst...
10/15/2020 ∙ by Hao Li, et al. ∙ 10 ∙ share

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Domain Agnostic Learning for Unbiased Authentication

Authentication is the task of confirming the matching relationship betwe...
10/11/2020 ∙ by Jian Liang, et al. ∙ 6 ∙ share

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Position-Aware Tagging for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting the...
10/06/2020 ∙ by Lu Xu, et al. ∙ 0 ∙ share

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Dynamic Facial Asset and Rig Generation from a Single Scan

The creation of high-fidelity computer-generated (CG) characters used in...
10/01/2020 ∙ by Jiaman Li, et al. ∙ 5 ∙ share

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Efficient Kernel Transfer in Knowledge Distillation

Knowledge distillation is an effective way for model compression in deep...
09/30/2020 ∙ by Qi Qian, et al. ∙ 77 ∙ share

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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...
09/25/2020 ∙ by Pengxu Wei, et al. ∙ 7 ∙ share

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Semi-Anchored Detector for One-Stage Object Detection

A standard one-stage detector is comprised of two tasks: classification ...
09/10/2020 ∙ by Lei Chen, et al. ∙ 5 ∙ share

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Hybrid Differentially Private Federated Learning on Vertically Partitioned Data

We present HDP-VFL, the first hybrid differentially private (DP) framewo...
09/06/2020 ∙ by Chang Wang, et al. ∙ 1 ∙ share

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A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations

Privacy-preserving recommendations are recently gaining momentum, since ...
08/25/2020 ∙ by Mingkai Huang, et al. ∙ 26 ∙ share

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Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model

End-to-end (E2E) systems have played a more and more important role in a...
07/31/2020 ∙ by Qi Liu, et al. ∙ 0 ∙ share

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Monocular Real-Time Volumetric Performance Capture

We present the first approach to volumetric performance capture and nove...
07/28/2020 ∙ by Ruilong Li, et al. ∙ 3 ∙ share

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Posterior Consistency of Semi-Supervised Regression on Graphs

Graph-based semi-supervised regression (SSR) is the problem of estimatin...
07/25/2020 ∙ by Andrea L. Bertozzi, et al. ∙ 4 ∙ share

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Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations

We present a novel adaptation of active learning to graph-based semi-sup...
07/21/2020 ∙ by Kevin Miller, et al. ∙ 2 ∙ share

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Revisiting the Continuity of Rotation Representations in Neural Networks

In this paper, we provide some careful analysis of certain pathological ...
06/11/2020 ∙ by Sitao Xiang, et al. ∙ 0 ∙ share

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Why is Attention Not So Attentive?

Attention-based methods have played an important role in model interpret...
06/10/2020 ∙ by Bing Bai, et al. ∙ 30 ∙ share

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Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels

Learning latent representations of registered meshes is useful for many ...
06/08/2020 ∙ by Yi Zhou, et al. ∙ 20 ∙ share

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Generative Tweening: Long-term Inbetweening of 3D Human Motions

The ability to generate complex and realistic human body animations at s...
05/18/2020 ∙ by Yi Zhou, et al. ∙ 3 ∙ share

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One-Shot Identity-Preserving Portrait Reenactment

We present a deep learning-based framework for portrait reenactment from...
04/26/2020 ∙ by Sitao Xiang, et al. ∙ 19 ∙ share

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Multi-Domain Learning and Identity Mining for Vehicle Re-Identification

This paper introduces our solution for the Track2 in AI City Challenge 2...
04/22/2020 ∙ by Shuting He, et al. ∙ 1 ∙ share

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Lightweight Mask R-CNN for Long-Range Wireless Power Transfer Systems

Resonant Beam Charging (RBC) is a wireless charging technology which sup...
04/19/2020 ∙ by Hao Li, et al. ∙ 13 ∙ share

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Intuitive, Interactive Beard and Hair Synthesis with Generative Models

We present an interactive approach to synthesizing realistic variations ...
04/15/2020 ∙ by Kyle Olszewski, et al. ∙ 21 ∙ share

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ARCH: Animatable Reconstruction of Clothed Humans

In this paper, we propose ARCH (Animatable Reconstruction of Clothed Hum...
04/08/2020 ∙ by Zeng Huang, et al. ∙ 5 ∙ share

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CSRN: Collaborative Sequential Recommendation Networks for News Retrieval

Nowadays, news apps have taken over the popularity of paper-based media,...
04/07/2020 ∙ by Bing Bai, et al. ∙ 7 ∙ share

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Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition

Collecting fine-grained labels usually requires expert-level domain know...
04/06/2020 ∙ by Hao Li, et al. ∙ 2 ∙ share

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Learning Formation of Physically-Based Face Attributes

Based on a combined data set of 4000 high resolution facial scans, we in...
04/02/2020 ∙ by Ruilong Li, et al. ∙ 8 ∙ share

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Oriented Objects as pairs of Middle Lines

The detection of oriented objects is frequently appeared in the field of...
12/23/2019 ∙ by Haoran Wei, et al. ∙ 2 ∙ share

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So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

Access to labeled reference data is one of the grand challenges in super...
12/19/2019 ∙ by Xiao Xiang Zhu, et al. ∙ 0 ∙ share

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Hierarchically Robust Representation Learning

With the tremendous success of deep learning in visual tasks, the repres...
11/11/2019 ∙ by Qi Qian, et al. ∙ 54 ∙ share

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Learning to Infer Implicit Surfaces without 3D Supervision

Recent advances in 3D deep learning have shown that it is possible to tr...
11/02/2019 ∙ by Shichen Liu, et al. ∙ 12 ∙ share

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Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning

Finding feasible and collision-free paths for multiple nonlinear agents ...
10/24/2019 ∙ by Hao Li, et al. ∙ 0 ∙ share

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Learning Explicit and Implicit Structures for Targeted Sentiment Analysis

Targeted sentiment analysis is the task of jointly predicting target ent...
09/17/2019 ∙ by Hao Li, et al. ∙ 0 ∙ share

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SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

Distance metric learning (DML) is to learn the embeddings where examples...
09/11/2019 ∙ by Qi Qian, et al. ∙ 16 ∙ share

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Improved Techniques for Training Adaptive Deep Networks

Adaptive inference is a promising technique to improve the computational...
08/17/2019 ∙ by Hao Li, et al. ∙ 5 ∙ share

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Reinforced Dynamic Reasoning for Conversational Question Generation

This paper investigates a new task named Conversational Question Generat...
07/29/2019 ∙ by Boyuan Pan, et al. ∙ 4 ∙ share

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DR Loss: Improving Object Detection by Distributional Ranking

Most of object detection algorithms can be categorized into two classes:...
07/23/2019 ∙ by Qi Qian, et al. ∙ 1 ∙ share

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