Search Results for author: Han Fang

Found 14 papers, 6 papers with code

Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition

no code implementations ECCV 2020 Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu

Although deep learning techniques have largely improved face recognition, unconstrained surveillance face recognition (FR) is still an unsolved challenge, due to the limited training data and the gap of domain distribution.

Face Recognition Translation

BayesFormer: Transformer with Uncertainty Estimation

no code implementations2 Jun 2022 Karthik Abinav Sankararaman, Sinong Wang, Han Fang

Transformer has become ubiquitous due to its dominant performance in various NLP and image processing tasks.

Active Learning Language Modelling +3

Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks

no code implementations13 Jan 2022 Yuchong Yao, Xiaohui Wangr, Yuanbang Ma, Han Fang, Jiaying Wei, Liyuan Chen, Ali Anaissi, Ali Braytee

The two recent methods, Balancing GAN (BAGAN) and improved BAGAN (BAGAN-GP), are proposed as an augmentation tool to handle this problem and restore the balance to the data.

Image Classification

Reducing Target Group Bias in Hate Speech Detectors

no code implementations7 Dec 2021 Darsh J Shah, Sinong Wang, Han Fang, Hao Ma, Luke Zettlemoyer

The ubiquity of offensive and hateful content on online fora necessitates the need for automatic solutions that detect such content competently across target groups.

text-classification Text Classification

Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition

no code implementations19 Oct 2021 Haozhe Chen, Weiming Zhang, Kunlin Liu, Kejiang Chen, Han Fang, Nenghai Yu

As an effective method for intellectual property (IP) protection, model watermarking technology has been applied on a wide variety of deep neural networks (DNN), including speech classification models.

Automatic Speech Recognition speech-recognition

MLFW: A Database for Face Recognition on Masked Faces

no code implementations13 Sep 2021 Chengrui Wang, Han Fang, Yaoyao Zhong, Weihong Deng

As more and more people begin to wear masks due to current COVID-19 pandemic, existing face recognition systems may encounter severe performance degradation when recognizing masked faces.

Face Recognition

MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression

1 code implementation18 Aug 2021 Zhaoyang Jia, Han Fang, Weiming Zhang

To address such limitations, we proposed a novel end-to-end training architecture, which utilizes Mini-Batch of Real and Simulated JPEG compression (MBRS) to enhance the JPEG robustness.

Exploring Structure Consistency for Deep Model Watermarking

no code implementations5 Aug 2021 Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Zehua Ma, Weiming Zhang, Gang Hua, Nenghai Yu

However, little attention has been devoted to the protection of DNNs in image processing tasks.

Data Augmentation

CLIP2Video: Mastering Video-Text Retrieval via Image CLIP

1 code implementation21 Jun 2021 Han Fang, Pengfei Xiong, Luhui Xu, Yu Chen

We present CLIP2Video network to transfer the image-language pre-training model to video-text retrieval in an end-to-end manner.

Ranked #4 on Video Retrieval on VATEX (using extra training data)

Language Modelling Video-Text Retrieval

Entailment as Few-Shot Learner

1 code implementation29 Apr 2021 Sinong Wang, Han Fang, Madian Khabsa, Hanzi Mao, Hao Ma

Large pre-trained language models (LMs) have demonstrated remarkable ability as few-shot learners.

Contrastive Learning Data Augmentation +8

Micro-Estimates of Wealth for all Low- and Middle-Income Countries

no code implementations15 Apr 2021 Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock

Many critical policy decisions, from strategic investments to the allocation of humanitarian aid, rely on data about the geographic distribution of wealth and poverty.

Humanitarian

Linformer: Self-Attention with Linear Complexity

9 code implementations8 Jun 2020 Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma

Large transformer models have shown extraordinary success in achieving state-of-the-art results in many natural language processing applications.

Language Modelling

Model Watermarking for Image Processing Networks

1 code implementation25 Feb 2020 Jie Zhang, Dong-Dong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, HAO CUI, Nenghai Yu

In this way, when the attacker trains one surrogate model by using the input-output pairs of the target model, the hidden watermark will be learned and extracted afterward.

DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense

1 code implementation ICCV 2019 Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, Nenghai Yu

We propose a Denoiser and UPsampler Network (DUP-Net) structure as defenses for 3D adversarial point cloud classification, where the two modules reconstruct surface smoothness by dropping or adding points.

Denoising Point Cloud Classification

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