Search Results for author: Zhanning Gao

Found 13 papers, 4 papers with code

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering

no code implementations3 Aug 2021 Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

Noisy labels are commonly found in real-world data, which cause performance degradation of deep neural networks.

Metric Learning

Video Imprint

no code implementations7 Jun 2021 Zhanning Gao, Le Wang, Nebojsa Jojic, Zhenxing Niu, Nanning Zheng, Gang Hua

In the proposed framework, a dedicated feature alignment module is incorporated for redundancy removal across frames to produce the tensor representation, i. e., the video imprint.

Language Modelling Retrieval

Intrinsic Temporal Regularization for High-resolution Human Video Synthesis

no code implementations11 Dec 2020 Lingbo Yang, Zhanning Gao, Peiran Ren, Siwei Ma, Wen Gao

Temporal consistency is crucial for extending image processing pipelines to the video domain, which is often enforced with flow-based warping error over adjacent frames.

Motion Estimation Vocal Bursts Intensity Prediction

Implicit Subspace Prior Learning for Dual-Blind Face Restoration

1 code implementation12 Oct 2020 Lingbo Yang, Pan Wang, Zhanning Gao, Shanshe Wang, Peiran Ren, Siwei Ma, Wen Gao

Face restoration is an inherently ill-posed problem, where additional prior constraints are typically considered crucial for mitigating such pathology.

Blind Face Restoration

Towards Fine-grained Human Pose Transfer with Detail Replenishing Network

no code implementations26 May 2020 Lingbo Yang, Pan Wang, Chang Liu, Zhanning Gao, Peiran Ren, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Xian-Sheng Hua, Wen Gao

Human pose transfer (HPT) is an emerging research topic with huge potential in fashion design, media production, online advertising and virtual reality.

Pose Transfer Retrieval

Ladder Loss for Coherent Visual-Semantic Embedding

2 code implementations18 Nov 2019 Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua

For visual-semantic embedding, the existing methods normally treat the relevance between queries and candidates in a bipolar way -- relevant or irrelevant, and all "irrelevant" candidates are uniformly pushed away from the query by an equal margin in the embedding space, regardless of their various proximity to the query.

Retrieval Triplet

EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks

no code implementations3 Sep 2019 Pengfei Zhang, Jianru Xue, Cuiling Lan, Wen-Jun Zeng, Zhanning Gao, Nanning Zheng

For an RNN block, an EleAttG is used for adaptively modulating the input by assigning different levels of importance, i. e., attention, to each element/dimension of the input.

Action Recognition Gesture Recognition +1

Adding Attentiveness to the Neurons in Recurrent Neural Networks

no code implementations ECCV 2018 Pengfei Zhang, Jianru Xue, Cuiling Lan, Wen-Jun Zeng, Zhanning Gao, Nanning Zheng

We propose adding a simple yet effective Element-wiseAttention Gate (EleAttG) to an RNN block (e. g., all RNN neurons in a network layer) that empowers the RNN neurons to have the attentiveness capability.

Action Recognition Skeleton Based Action Recognition +1

Counting Grid Aggregation for Event Retrieval and Recognition

no code implementations5 Apr 2016 Zhanning Gao, Gang Hua, Dongqing Zhang, Jianru Xue, Nanning Zheng

Event retrieval and recognition in a large corpus of videos necessitates a holistic fixed-size visual representation at the video clip level that is comprehensive, compact, and yet discriminative.

Retrieval

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