b'Bo Peng'

research

∙ 06/30/2022

DFGC 2022: The Second DeepFake Game Competition

This paper presents the summary report on our DFGC 2022 competition. The...

Bo Peng, et al. ∙

research

∙ 06/17/2022

MultiEarth 2022 – The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation

Earth observation satellites have been continuously monitoring the earth...

Bo Peng, et al. ∙

research

∙ 06/04/2022

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation

Session-based recommendation aims to generate recommendations for the ne...

Bo Peng, et al. ∙

research

∙ 05/30/2022

Exposing Fine-grained Adversarial Vulnerability of Face Anti-spoofing Models

Adversarial attacks seriously threaten the high accuracy of face anti-sp...

Songlin Yang, et al. ∙

research

∙ 04/04/2022

Order Selection Prophet Inequality: From Threshold Optimization to Arrival Time Design

In the classical prophet inequality, a gambler faces a sequence of items...

Bo Peng, et al. ∙

research

∙ 01/17/2022

UWC: Unit-wise Calibration Towards Rapid Network Compression

This paper introduces a post-training quantization (PTQ) method achievin...

Chen Lin, et al. ∙

research

∙ 01/04/2022

TAMM: Tensor Algebra for Many-body Methods

Tensor contraction operations in computational chemistry consume signifi...

Erdal Mutlu, et al. ∙

research

∙ 12/10/2021

HeadNeRF: A Real-time NeRF-based Parametric Head Model

In this paper, we propose HeadNeRF, a novel NeRF-based parametric head m...

Yang Hong, et al. ∙

research

∙ 10/29/2021

Novel View Synthesis from a Single Image via Unsupervised learning

View synthesis aims to generate novel views from one or more given sourc...

Bingzheng Liu, et al. ∙

research

∙ 06/02/2021

DFGC 2021: A DeepFake Game Competition

This paper presents a summary of the DFGC 2021 competition. DeepFake tec...

Bo Peng, et al. ∙

research

∙ 04/28/2021

Robust Face-Swap Detection Based on 3D Facial Shape Information

Maliciously-manipulated images or videos - so-called deep fakes - especi...

Weinan Guan, et al. ∙

research

∙ 04/21/2021

SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer

In recent years, virtual makeup applications have become more and more p...

Yueming Lyu, et al. ∙

research

∙ 11/18/2020

MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation

Pose-guided person image generation usually involves using paired source...

Tianxiang Ma, et al. ∙

research

∙ 10/04/2020

Rank Position Forecasting in Car Racing

Forecasting is challenging since uncertainty resulted from exogenous fac...

Bo Peng, et al. ∙

research

∙ 07/19/2020

Hybrid Collaborative Filtering Models for Clinical Search Recommendation

With increasing and extensive use of electronic health records, clinicia...

Zhiyun Ren, et al. ∙

research

∙ 07/03/2020

Least Squares Estimator for Vasicek Model Driven by Sub-fractional Brownian Processes from Discrete Observations

We study the parameter estimation problem of Vasicek Model driven by sub...

Cuiyun Zhang, et al. ∙

research

∙ 04/03/2020

M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation

Next-basket recommendation considers the problem of recommending a set o...

Bo Peng, et al. ∙

research

∙ 04/03/2020

Learning Pose-invariant 3D Object Reconstruction from Single-view Images

Learning to reconstruct 3D shapes using 2D images is an active research ...

Bo Peng, et al. ∙

research

∙ 03/29/2020

Co-occurrence Background Model with Superpixels for Robust Background Initialization

Background initialization is an important step in many high-level applic...

Wenjun Zhou, et al. ∙

research

∙ 02/27/2020

HAM: Hybrid Associations Model with Pooling for Sequential Recommendation

We developed a hybrid associations model (HAM) to generate sequential re...

Bo Peng, et al. ∙

research

∙ 02/09/2020

A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems

Recent researches show that machine learning has the potential to learn ...

Bo Peng, et al. ∙

research

∙ 11/15/2019

CNN-based Dual-Chain Models for Knowledge Graph Learning

Knowledge graph learning plays a critical role in integrating domain spe...

Bo Peng, et al. ∙

research

∙ 11/10/2019

Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval

Sketch-based image retrieval (SBIR) is a challenging task due to the lar...

Jianjun Lei, et al. ∙

research

∙ 10/30/2019

Comprehensive Video Understanding: Video summarization with content-based video recommender design

Video summarization aims to extract keyframes/shots from a long video. P...

Yudong Jiang, et al. ∙

research

∙ 07/31/2019

iCartoonFace: A Benchmark of Cartoon Person Recognition

Cartoons receive increasingly attention and have a huge global market. C...

Yi Zheng, et al. ∙

research

∙ 05/31/2019

Point Clouds Learning with Attention-based Graph Convolution Networks

Point clouds data, as one kind of representation of 3D objects, are the ...

Zhuyang Xie, et al. ∙

research

∙ 02/27/2019

On the generalization of GAN image forensics

Recently the GAN generated face images are more and more realistic with ...

Xinsheng Xuan, et al. ∙

research

∙ 01/23/2019

A deep Convolutional Neural Network for topology optimization with strong generalization ability

This paper proposes a deep Convolutional Neural Network(CNN) with strong...

Yiquan Zhang, et al. ∙

research

∙ 11/19/2018

iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Person identification in the wild is very challenging due to great varia...

Yuanliu Liu, et al. ∙

research

∙ 10/11/2018

A Blended Deep Learning Approach for Predicting User Intended Actions

User intended actions are widely seen in many areas. Forecasting these a...

Fei Tan, et al. ∙

research

∙ 08/20/2018

Person Re-Identification by Semantic Region Representation and Topology Constraint

Person re-identification is a popular research topic which aims at match...

Jianjun Lei, et al. ∙

research

∙ 07/30/2018

Extreme Network Compression via Filter Group Approximation

In this paper we propose a novel decomposition method based on filter gr...

Bo Peng, et al. ∙

research

∙ 04/25/2018

High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication

Subgraph counting aims to count the number of occurrences of a subgraph ...

Langshi Chen, et al. ∙

research

∙ 12/06/2010

Automatic Image Segmentation by Dynamic Region Merging

This paper addresses the automatic image segmentation problem in a regio...

Bo Peng, et al. ∙

Bo Peng

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