Search Results for author: Debing Zhang

Found 11 papers, 6 papers with code

MPI-Flow: Learning Realistic Optical Flow with Multiplane Images

1 code implementation ICCV 2023 Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu

The accuracy of learning-based optical flow estimation models heavily relies on the realism of the training datasets.

Optical Flow Estimation

Recurrent Self-Supervised Video Denoising with Denser Receptive Field

no code implementations7 Aug 2023 Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu

However, under their blind spot constraints, previous self-supervised video denoising methods suffer from significant information loss and texture destruction in either the whole reference frame or neighbor frames, due to their inadequate consideration of the receptive field.

Denoising Video Denoising

End-to-End Video Text Spotting with Transformer

1 code implementation20 Mar 2022 Weijia Wu, Yuanqiang Cai, Chunhua Shen, Debing Zhang, Ying Fu, Hong Zhou, Ping Luo

Recent video text spotting methods usually require the three-staged pipeline, i. e., detecting text in individual images, recognizing localized text, tracking text streams with post-processing to generate final results.

Text Detection Text Spotting

TransAug: Translate as Augmentation for Sentence Embeddings

no code implementations30 Oct 2021 Jue Wang, Haofan Wang, Xing Wu, Chaochen Gao, Debing Zhang

In this paper, we present TransAug (Translate as Augmentation), which provide the first exploration of utilizing translated sentence pairs as data augmentation for text, and introduce a two-stage paradigm to advances the state-of-the-art sentence embeddings.

Contrastive Learning Data Augmentation +3

Partial FC: Training 10 Million Identities on a Single Machine

6 code implementations11 Oct 2020 Xiang An, Xuhan Zhu, Yang Xiao, Lan Wu, Ming Zhang, Yuan Gao, Bin Qin, Debing Zhang, Ying Fu

The experiment demonstrates no loss of accuracy when training with only 10\% randomly sampled classes for the softmax-based loss functions, compared with training with full classes using state-of-the-art models on mainstream benchmarks.

Face Identification Face Recognition +2

EasyQuant: Post-training Quantization via Scale Optimization

1 code implementation30 Jun 2020 Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang

The 8 bits quantization has been widely applied to accelerate network inference in various deep learning applications.


Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery

no code implementations ECCV 2018 Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang

Hyperspectral image (HSI) recovery from a single RGB image has attracted much attention, whose performance has recently been shown to be sensitive to the camera spectral sensitivity (CSS).

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