Search Results for author: Zhenhua Chai

Found 14 papers, 3 papers with code

Grand Challenge of 106-Point Facial Landmark Localization

no code implementations9 May 2019 Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, Zhibin Hong, Hanqi Guo, Ziyuan Guo, Yanqin Chen, Bi Li, Teng Xi, Jun Yu, Haonian Xie, Guochen Xie, Mengyan Li, Qing Lu, Zengfu Wang, Shenqi Lai, Zhenhua Chai, Xiaoming Wei

However, previous competitions on facial landmark localization (i. e., the 300-W, 300-VW and Menpo challenges) aim to predict 68-point landmarks, which are incompetent to depict the structure of facial components.

Face Alignment Face Recognition +2

Query Twice: Dual Mixture Attention Meta Learning for Video Summarization

no code implementations19 Aug 2020 Junyan Wang, Yang Bai, Yang Long, Bingzhang Hu, Zhenhua Chai, Yu Guan, Xiaolin Wei

Video summarization aims to select representative frames to retain high-level information, which is usually solved by predicting the segment-wise importance score via a softmax function.

Meta-Learning Video Summarization

Free-Form Image Inpainting via Contrastive Attention Network

no code implementations29 Oct 2020 Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Zhenhua Chai, Xiaolin Wei, Ran He

It is difficult for encoders to capture such powerful representations under this complex situation.

Image Inpainting

Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning

no code implementations ICCV 2021 Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li

Open-set semi-supervised learning (open-set SSL) investigates a challenging but practical scenario where out-of-distribution (OOD) samples are contained in the unlabeled data.

Binary Classification

Contrastive Attention Network with Dense Field Estimation for Face Completion

no code implementations20 Dec 2021 Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Gengyun Jia, Zhenhua Chai, Xiaolin Wei

This multi-scale architecture is beneficial for the decoder to utilize discriminative representations learned from encoders into images.

Face Recognition Facial Inpainting

Compressing Models with Few Samples: Mimicking then Replacing

1 code implementation CVPR 2022 Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu

Hence, previous methods optimize the compressed model layer-by-layer and try to make every layer have the same outputs as the corresponding layer in the teacher model, which is cumbersome.

Towards Accurate Post-Training Quantization for Vision Transformer

no code implementations25 Mar 2023 Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu

We find the main reasons lie in (1) the existing calibration metric is inaccurate in measuring the quantization influence for extremely low-bit representation, and (2) the existing quantization paradigm is unfriendly to the power-law distribution of Softmax.

Model Compression Quantization

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning

no code implementations30 Jun 2023 Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu

In this paper, we address a complex but practical scenario in semi-supervised learning (SSL) named open-set SSL, where unlabeled data contain both in-distribution (ID) and out-of-distribution (OOD) samples.

Divide and Adapt: Active Domain Adaptation via Customized Learning

1 code implementation CVPR 2023 Duojun Huang, Jichang Li, Weikai Chen, Junshi Huang, Zhenhua Chai, Guanbin Li

To accommodate active learning and domain adaption, the two naturally different tasks, in a collaborative framework, we advocate that a customized learning strategy for the target data is the key to the success of ADA solutions.

Active Learning Informativeness +3

MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation

no code implementations14 Jan 2024 Jiaqi Chen, Bingqian Lin, ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee K. Wong

Embodied agents equipped with GPT as their brain have exhibited extraordinary decision-making and generalization abilities across various tasks.

Decision Making Vision and Language Navigation

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