Zhihai He | DeepAI

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Featured Co-authors

Yi Zhang
258 publications
Ce Zhang
133 publications
Hao Sun
91 publications
Yang Li
74 publications
Min Li
44 publications
Zhi Zhang
44 publications
Kailiang Wu
25 publications
Jianxin Wang
25 publications
Jie Cheng
15 publications
Yixiong Liang
14 publications
Qinghai Guo
14 publications

∙ 09/03/2023

BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning

Large-scale pre-trained Vision-Language Models (VLMs), such as CLIP and ...

0 Yi Zhang, et al. ∙

∙ 08/22/2023

Unsupervised Prototype Adapter for Vision-Language Models

Recently, large-scale pre-trained vision-language models (e.g. CLIP and ...

0 Yi Zhang, et al. ∙

∙ 07/28/2023

Cross-Modal Concept Learning and Inference for Vision-Language Models

Large-scale pre-trained Vision-Language Models (VLMs), such as CLIP, est...

0 Yi Zhang, et al. ∙

∙ 06/29/2023

Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation

One central challenge in source-free unsupervised domain adaptation (UDA...

0 Yushun Tang, et al. ∙

∙ 04/15/2023

Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems

Given an unknown dynamical system, what is the minimum number of samples...

0 Ce Zhang, et al. ∙

∙ 03/20/2023

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation

A central challenge in human pose estimation, as well as in many other m...

0 Zhehan Kan, et al. ∙

∙ 03/02/2023

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

Fully test-time adaptation aims to adapt the network model based on sequ...

0 Yushun Tang, et al. ∙

∙ 10/09/2022

Coded Residual Transform for Generalizable Deep Metric Learning

A fundamental challenge in deep metric learning is the generalization ca...

0 Shichao Kan, et al. ∙

∙ 07/06/2022

Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation

We observe that human poses exhibit strong group-wise structural correla...

0 Zhehan Kan, et al. ∙

∙ 03/04/2021

Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks

Deep neural networks recognize objects by analyzing local image details ...

0 Zhiqun Zhao, et al. ∙

∙ 04/23/2020

Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks

Effective defense of deep neural networks against adversarial attacks re...

0 Jianhe Yuan, et al. ∙

∙ 04/09/2020

Reciprocal Learning Networks for Human Trajectory Prediction

We observe that the human trajectory is not only forward predictable, bu...

0 Hao Sun, et al. ∙

∙ 09/04/2019

Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets

In this work, we develop a joint sample discovery and iterative model ev...

0 Yang Li, et al. ∙

∙ 04/25/2018

Progressive Neural Networks for Image Classification

The inference structures and computational complexity of existing deep n...

0 Zhi Zhang, et al. ∙

∙ 10/27/2017

Dual Path Networks for Multi-Person Human Pose Estimation

The task of multi-person human pose estimation in natural scenes is quit...

0 Guanghan Ning, et al. ∙

∙ 10/26/2017

Knowledge Projection for Deep Neural Networks

While deeper and wider neural networks are actively pushing the performa...

0 Zhi Zhang, et al. ∙

∙ 07/18/2017

Towards a Social Virtual Reality Learning Environment in High Fidelity

Virtual Learning Environments (VLEs) are spaces designed to educate stud...

0 Chiara Zizza, et al. ∙

∙ 05/05/2017

Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation

Human pose estimation using deep neural networks aims to map input image...

0 Guanghan Ning, et al. ∙

∙ 04/07/2016

A Classification Leveraged Object Detector

Currently, the state-of-the-art image classification algorithms outperfo...

0 Miao Sun, et al. ∙

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