Search Results for author: Honggang Qi

Found 22 papers, 7 papers with code

A Diffusion Model Based Quality Enhancement Method for HEVC Compressed Video

no code implementations15 Nov 2023 Zheng Liu, Honggang Qi

Most of the existing methods need to train corresponding models for compressed videos with different quantization parameters to improve the quality of compressed videos.

Quantization

FakeTracer: Proactively Defending Against Face-swap DeepFakes via Implanting Traces in Training

no code implementations27 Jul 2023 Pu Sun, Honggang Qi, Yuezun Li, Siwei Lyu

Face-swap DeepFake is an emerging AI-based face forgery technique that can replace the original face in a video with a generated face of the target identity while retaining consistent facial attributes such as expression and orientation.

Face Generation Face Swapping

CenterNet++ for Object Detection

2 code implementations18 Apr 2022 Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian

Our approach, named CenterNet, detects each object as a triplet keypoints (top-left and bottom-right corners and the center keypoint).

Object object-detection +1

Location-Sensitive Visual Recognition with Cross-IOU Loss

1 code implementation11 Apr 2021 Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian

Object detection, instance segmentation, and pose estimation are popular visual recognition tasks which require localizing the object by internal or boundary landmarks.

2D Human Pose Estimation Instance Segmentation +5

DeepFake-o-meter: An Open Platform for DeepFake Detection

no code implementations2 Mar 2021 Yuezun Li, Cong Zhang, Pu Sun, Honggang Qi, Siwei Lyu

In recent years, the advent of deep learning-based techniques and the significant reduction in the cost of computation resulted in the feasibility of creating realistic videos of human faces, commonly known as DeepFakes.

DeepFake Detection Face Swapping

Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction

no code implementations1 Feb 2021 Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu

In this paper, we describe Landmark Breaker, the first dedicated method to disrupt facial landmark extraction, and apply it to the obstruction of the generation of DeepFake videos. Our motivation is that disrupting the facial landmark extraction can affect the alignment of input face so as to degrade the DeepFake quality.

Face Swapping

LandmarkGAN: Synthesizing Faces from Landmarks

1 code implementation31 Oct 2020 Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu

Face synthesis is an important problem in computer vision with many applications.

Face Generation

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

7 code implementations CVPR 2020 Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, Siwei Lyu

AI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging problem threatening the trustworthiness of online information.

DeepFake Detection Face Swapping

CenterNet: Keypoint Triplets for Object Detection

20 code implementations ICCV 2019 Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian

In object detection, keypoint-based approaches often suffer a large number of incorrect object bounding boxes, arguably due to the lack of an additional look into the cropped regions.

Object object-detection +1

Exposing GAN-synthesized Faces Using Landmark Locations

no code implementations30 Mar 2019 Xin Yang, Yuezun Li, Honggang Qi, Siwei Lyu

Generative adversary networks (GANs) have recently led to highly realistic image synthesis results.

General Classification Image Generation

Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification

no code implementations6 Aug 2018 Tao Hu, Jizheng Xu, Cong Huang, Honggang Qi, Qingming Huang, Yan Lu

Besides, we propose attention regularization and attention dropout to weakly supervise the generating process of attention maps.

Classification Fine-Grained Image Classification +1

Multi-Scale Supervised Network for Human Pose Estimation

no code implementations5 Aug 2018 Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu

Human pose estimation is an important topic in computer vision with many applications including gesture and activity recognition.

Activity Recognition Keypoint Detection +1

Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network

no code implementations18 Mar 2018 Tao Hu, Honggang Qi, Jizheng Xu, Qingming Huang

Only one self-iterative regressor is trained to learn the descent directions for samples from coarse stages to fine stages, and parameters are iteratively updated by the same regressor.

Ranked #16 on Face Alignment on 300W (NME_inter-pupil (%, Common) metric)

Face Alignment regression

Contrast Enhancement Estimation for Digital Image Forensics

no code implementations13 Jun 2017 Longyin Wen, Honggang Qi, Siwei Lyu

Our method recovers the original pixel histogram and the contrast enhancement simultaneously from a single image with an iterative algorithm.

Image Forensics

Geometric Hypergraph Learning for Visual Tracking

no code implementations18 Mar 2016 Dawei Du, Honggang Qi, Longyin Wen, Qi Tian, Qingming Huang, Siwei Lyu

Graph based representation is widely used in visual tracking field by finding correct correspondences between target parts in consecutive frames.

Visual Tracking

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

no code implementations13 Nov 2015 Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu

In this work, we perform a comprehensive quantitative study on the effects of object detection accuracy to the overall MOT performance, using the new large-scale University at Albany DETection and tRACking (UA-DETRAC) benchmark dataset.

Multi-Object Tracking Object +2

Improving Image Restoration with Soft-Rounding

no code implementations ICCV 2015 Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu

In this work, we describe an effective and efficient approach to incorporate the knowledge of distinct pixel values of the pristine images into the general regularized least squares restoration framework.

Image Restoration SSIM

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