Search Results for author: Bang Zhang

Found 7 papers, 3 papers with code

Recurrent Dynamic Embedding for Video Object Segmentation

1 code implementation8 May 2022 Mingxing Li, Li Hu, Zhiwei Xiong, Bang Zhang, Pan Pan, Dong Liu

In this paper, we propose a Recurrent Dynamic Embedding (RDE) to build a memory bank of constant size.

Frame Semantic Segmentation +2

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

1 code implementation13 Apr 2022 Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Pan Pan, Yi Yang

To address this challenge, we propose Multi-View Consistent Generative Adversarial Networks (MVCGAN) for high-quality 3D-aware image synthesis with geometry constraints.

3D-Aware Image Synthesis

Divide and Rule: Recurrent Partitioned Network for Dynamic Processes

no code implementations1 Jun 2021 Qianyu Feng, Bang Zhang, Yi Yang

Differently, our goal is to represent a system with a part-whole hierarchy and discover the implied dependencies among intra-system variables: inferring the interactions that possess causal effects on the sub-system behavior with REcurrent partItioned Network (REIN).

VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots

1 code implementation31 May 2021 Yuan Gan, Yawei Luo, Xin Yu, Bang Zhang, Yi Yang

In this paper, we investigate the task of hallucinating an authentic high-resolution (HR) human face from multiple low-resolution (LR) video snapshots.

Face Hallucination

OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation

no code implementations2 May 2021 Qianyu Feng, Linchao Zhu, Bang Zhang, Pan Pan, Yi Yang

Specifically, we expect to approximate the real joint distribution over the partial observation and latent variables, thus infer the unseen targets respectively.

Learning Position and Target Consistency for Memory-based Video Object Segmentation

no code implementations CVPR 2021 Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin

To address this limitation, we propose to Learn position and target Consistency framework for Memory-based video object segmentation, termed as LCM.

One-shot visual object segmentation Semantic Segmentation +1

Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning

no code implementations CVPR 2014 Bang Zhang, Yi Wang, Yang Wang, Fang Chen

Many prevalent multi-class classification approaches can be unified and generalized by the output coding framework which usually consists of three phases: (1) coding, (2) learning binary classifiers, and (3) decoding.

General Classification Multi-class Classification +1

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