Search Results for author: Qiuhong Ke

Found 37 papers, 3 papers with code

DiffPose: Toward More Reliable 3D Pose Estimation

1 code implementation CVPR 2023 Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu

Monocular 3D human pose estimation is quite challenging due to the inherent ambiguity and occlusion, which often lead to high uncertainty and indeterminacy.

3D Pose Estimation Monocular 3D Human Pose Estimation

Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports

1 code implementation3 Jan 2024 Haopeng Li, Andong Deng, Qiuhong Ke, Jun Liu, Hossein Rahmani, Yulan Guo, Bernt Schiele, Chen Chen

Reasoning over sports videos for question answering is an important task with numerous applications, such as player training and information retrieval.

Action Understanding counterfactual +4

Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark

1 code implementation12 Mar 2023 Jiayang Ao, Qiuhong Ke, Krista A. Ehinger

Images of realistic scenes often contain intra-class objects that are heavily occluded from each other, making the amodal perception task that requires parsing the occluded parts of the objects challenging.

Amodal Instance Segmentation Robotic Grasping +1

Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction

no code implementations18 Aug 2016 Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Bossaid, Ferdous Sohel

The structural models, including the spatial and the temporal models, are learned with Long Short Term Memory (LSTM) networks to capture the dependency of the global and local contexts of each RGB frame and each optical flow image, respectively.

Optical Flow Estimation

Is Rotation a Nuisance in Shape Recognition?

no code implementations CVPR 2014 Qiuhong Ke, Yi Li

and 3) how to use rotation unaware local features for rotation aware shape recognition?

Long-Term Anticipation of Activities with Cycle Consistency

no code implementations2 Sep 2020 Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall

With the success of deep learning methods in analyzing activities in videos, more attention has recently been focused towards anticipating future activities.

Long Term Anticipation

Hierarchical Paired Channel Fusion Network for Street Scene Change Detection

no code implementations19 Oct 2020 Yinjie Lei, Duo Peng, Pingping Zhang, Qiuhong Ke, Haifeng Li

Based on the MPFL strategy, our framework achieves a novel approach to adapt to the scale and location diversities of the scene change regions.

Change Detection Scene Change Detection

Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions

no code implementations17 Jan 2021 Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma

Understanding the actions of both humans and artificial intelligence (AI) agents is important before modern AI systems can be fully integrated into our daily life.

Adversarial Attack

HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks

no code implementations25 Jan 2021 Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang

Experimental results show that compared with the state-of-the-art models, which imitate hexagonal processing but using rectangle-shaped filters, HexCNN reduces the training time by up to 42. 2%.

Aerial Scene Classification Scene Classification

Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting

no code implementations3 Jun 2021 Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang

A promising countermeasure against such forgeries is deep inpainting detection, which aims to locate the inpainted regions in an image.

Image Inpainting

Spatial-Temporal Transformer for 3D Point Cloud Sequences

no code implementations19 Oct 2021 Yimin Wei, Hao liu, TingTing Xie, Qiuhong Ke, Yulan Guo

We test the effectiveness our PST2 with two different tasks on point cloud sequences, i. e., 4D semantic segmentation and 3D action recognition.

3D Action Recognition Segmentation +1

Adversarial Interaction Attacks: Fooling AI to Misinterpret Human Intentions

no code implementations ICML Workshop AML 2021 Nodens Koren, Xingjun Ma, Qiuhong Ke, Yisen Wang, James Bailey

Understanding the actions of both humans and artificial intelligence (AI) agents is important before modern AI systems can be fully integrated into our daily life.

Adversarial Attack

Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting

no code implementations8 May 2022 Ang Li, Shanshan Zhao, Qingjie Zhang, Qiuhong Ke

The IGGNet contains two key ingredients, i. e., a Geometry-Aware Attention (GAA) module and an Iterative Cross Guidance (ICG) strategy.

Image Inpainting

Meta Agent Teaming Active Learning for Pose Estimation

no code implementations CVPR 2022 Jia Gong, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu

The existing pose estimation approaches often require a large number of annotated images to attain good estimation performance, which are laborious to acquire.

Active Learning Pose Estimation

A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks

no code implementations14 Jun 2022 Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke

To mitigate such problem, a novel direction is to automatically learn the image augmentation policies from the given dataset using Automated Data Augmentation (AutoDA) techniques.

Image Augmentation Image Classification

Image Amodal Completion: A Survey

no code implementations5 Jul 2022 Jiayang Ao, Qiuhong Ke, Krista A. Ehinger

The main purpose of this survey is to provide an intuitive understanding of the research hotspots, key technologies and future trends in the field of image amodal completion.

ERA: Expert Retrieval and Assembly for Early Action Prediction

no code implementations20 Jul 2022 Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu

Early action prediction aims to successfully predict the class label of an action before it is completely performed.

Early Action Prediction Retrieval

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition

no code implementations3 Sep 2022 Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu

We design a novel Dynamic Spatio-Temporal Specialization (DSTS) module, which consists of specialized neurons that are only activated for a subset of samples that are highly similar.

Fine-grained Action Recognition

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition

no code implementations21 Sep 2022 Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey

Skeleton-based action recognition receives increasing attention because the skeleton representations reduce the amount of training data by eliminating visual information irrelevant to actions.

Action Recognition Meta-Learning +2

NEURAL MARIONETTE: A Transformer-based Multi-action Human Motion Synthesis System

no code implementations27 Sep 2022 Weiqiang Wang, Xuefei Zhe, Qiuhong Ke, Di Kang, Tingguang Li, Ruizhi Chen, Linchao Bao

Along with the novel system, we also present a new dataset dedicated to the multi-action motion synthesis task, which contains both action tags and their contextual information.

Motion Synthesis Rolling Shutter Correction +1

Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework

no code implementations3 Nov 2022 Liangchen Liu, Qiuhong Ke, Chaojie Li, Feiping Nie, Yingying Zhu

In this paper, we formulate a novel clustering model, which exploits the non-negative feature property and, more importantly, incorporates the multi-view information into a unified joint learning framework: the unified multi-view orthonormal non-negative graph based clustering framework (Umv-ONGC).

Clustering

Progressive Channel-Shrinking Network

no code implementations1 Apr 2023 Jianhong Pan, Siyuan Yang, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Zhipeng Fan, Jun Liu

Currently, salience-based channel pruning makes continuous breakthroughs in network compression.

GradMDM: Adversarial Attack on Dynamic Networks

no code implementations1 Apr 2023 Jianhong Pan, Lin Geng Foo, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu

Dynamic neural networks can greatly reduce computation redundancy without compromising accuracy by adapting their structures based on the input.

Adversarial Attack

Unified Pose Sequence Modeling

no code implementations CVPR 2023 Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu

We propose a Unified Pose Sequence Modeling approach to unify heterogeneous human behavior understanding tasks based on pose data, e. g., action recognition, 3D pose estimation and 3D early action prediction.

3D Pose Estimation Action Recognition +1

Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation

no code implementations ICCV 2023 Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu

Translating images from a source domain to a target domain for learning target models is one of the most common strategies in domain adaptive semantic segmentation (DASS).

Denoising Semantic Segmentation +1

Unsupervised Domain Adaptation via Domain-Adaptive Diffusion

no code implementations26 Aug 2023 Duo Peng, Qiuhong Ke, Yinjie Lei, Jun Liu

Unsupervised Domain Adaptation (UDA) is quite challenging due to the large distribution discrepancy between the source domain and the target domain.

Unsupervised Domain Adaptation

CLIP Guided Image-perceptive Prompt Learning for Image Enhancement

no code implementations7 Nov 2023 Weiwen Chen, Qiuhong Ke, Zinuo Li

Image enhancement is a significant research area in the fields of computer vision and image processing.

Image Enhancement

Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering

no code implementations3 Jan 2024 Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond

While significant advancements have been made in video question answering (VideoQA), the potential benefits of enhancing model generalization through tailored difficulty scheduling have been largely overlooked in existing research.

Question Answering Scheduling +1

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