b'Haotian Zhang'

research

∙ 11/30/2022

Nonmonontone submodular maximization under routing constraints

In machine learning and big data, the optimization objectives based on s...

Haotian Zhang, et al. ∙

research

∙ 11/12/2022

Innovative Drug-like Molecule Generation from Flow-based Generative Model

To design a drug given a biological molecule by using deep learning meth...

Haotian Zhang, et al. ∙

research

∙ 10/05/2022

APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing

Knowledge tracing (KT) is a fundamental task in educational data mining ...

Haotian Zhang, et al. ∙

research

∙ 07/21/2022

KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS

Supervised multi-view stereo (MVS) methods have achieved remarkable prog...

Yikang Ding, et al. ∙

research

∙ 07/21/2022

Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives

Recently, Implicit Neural Representations (INRs) parameterized by neural...

Wentao Yuan, et al. ∙

research

∙ 07/20/2022

Spotting Temporally Precise, Fine-Grained Events in Video

We introduce the task of spotting temporally precise, fine-grained event...

James Hong, et al. ∙

research

∙ 07/15/2022

COEM: Cross-Modal Embedding for MetaCell Identification

Metacells are disjoint and homogeneous groups of single-cell profiles, r...

Haiyi Mao, et al. ∙

research

∙ 06/12/2022

GLIPv2: Unifying Localization and Vision-Language Understanding

We present GLIPv2, a grounded VL understanding model, that serves both l...

Haotian Zhang, et al. ∙

research

∙ 12/07/2021

Grounded Language-Image Pre-training

This paper presents a grounded language-image pre-training (GLIP) model ...

Liunian Harold Li, et al. ∙

research

∙ 11/29/2021

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers

In this paper, we present TransMVSNet, based on our exploration of featu...

Yikang Ding, et al. ∙

research

∙ 11/25/2021

MegLoc: A Robust and Accurate Visual Localization Pipeline

In this paper, we present a visual localization pipeline, namely MegLoc,...

Shuxue Peng, et al. ∙

research

∙ 08/10/2021

Method Towards CVPR 2021 SimLocMatch Challenge

This report describes Megvii-3D team's approach towards SimLocMatch Chal...

Xiaopeng Bi, et al. ∙

research

∙ 08/10/2021

Method Towards CVPR 2021 Image Matching Challenge

This report describes Megvii-3D team's approach towards CVPR 2021 Image ...

Xiaopeng Bi, et al. ∙

research

∙ 04/29/2021

ELSD: Efficient Line Segment Detector and Descriptor

We present the novel Efficient Line Segment Detector and Descriptor (ELS...

Haotian Zhang, et al. ∙

research

∙ 11/03/2020

Amortized Variational Deep Q Network

Efficient exploration is one of the most important issues in deep reinfo...

Haotian Zhang, et al. ∙

research

∙ 09/26/2020

Recurrent Inference in Text Editing

In neural text editing, prevalent sequence-to-sequence based approaches ...

Ning Shi, et al. ∙

research

∙ 08/13/2020

Analyzing Who and What Appears in a Decade of US Cable TV News

Cable TV news reaches millions of U.S. households each day, meaning that...

James Hong, et al. ∙

research

∙ 08/11/2020

Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players

We present a system that converts annotated broadcast video of tennis ma...

Haotian Zhang, et al. ∙

research

∙ 06/24/2020

IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency

Multiple object tracking (MOT) is a crucial task in computer vision soci...

Jiarui Cai, et al. ∙

research

∙ 03/10/2020

Learning to be Global Optimizer

The advancement of artificial intelligence has cast a new light on the d...

Haotian Zhang, et al. ∙

research

∙ 03/04/2020

On Hyper-parameter Tuning for Stochastic Optimization Algorithms

This paper proposes the first-ever algorithmic framework for tuning hype...

Haotian Zhang, et al. ∙

research

∙ 03/02/2020

Adaptive Structural Hyper-Parameter Configuration by Q-Learning

Tuning hyper-parameters for evolutionary algorithms is an important issu...

Haotian Zhang, et al. ∙

research

∙ 10/18/2019

Eye in the Sky: Drone-Based Object Tracking and 3D Localization

Drones, or general UAVs, equipped with a single camera have been widely ...

Haotian Zhang, et al. ∙

research

∙ 10/08/2019

GetNet: Get Target Area for Image Pairing

Image pairing is an important research task in the field of computer vis...

Henry H. Yu, et al. ∙

research

∙ 10/07/2019

Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels

Many real-world video analysis applications require the ability to ident...

Daniel Y. Fu, et al. ∙

research

∙ 09/17/2019

An Internal Learning Approach to Video Inpainting

We propose a novel video inpainting algorithm that simultaneously halluc...

Haotian Zhang, et al. ∙

research

∙ 03/26/2019

Simple Applications of BERT for Ad Hoc Document Retrieval

Following recent successes in applying BERT to question answering, we ex...

Wei Yang, et al. ∙

research

∙ 11/30/2018

TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes

We introduce, TextureNet, a neural network architecture designed to extr...

Jingwei Huang, et al. ∙

research

∙ 11/18/2018

Exploit the Connectivity: Multi-Object Tracking with TrackletNet

Multi-object tracking (MOT) is an important and practical task related t...

Gaoang Wang, et al. ∙

research

∙ 03/23/2018

Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval

This study uses a novel simulation framework to evaluate whether the tim...

Haotian Zhang, et al. ∙

research

∙ 07/25/2017

Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering

Most work on natural language question answering today focuses on answer...

Royal Sequiera, et al. ∙

research

∙ 07/25/2017

Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams

Time is an important relevance signal when searching streams of social m...

Jinfeng Rao, et al. ∙

Haotian Zhang

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