Search Results for author: Zhijie Zhang

Found 10 papers, 4 papers with code

GaTector: A Unified Framework for Gaze Object Prediction

no code implementations7 Dec 2021 Binglu Wang, Tao Hu, Baoshan Li, Xiaojuan Chen, Zhijie Zhang

In this paper, we build a novel framework named GaTector to tackle the gaze object prediction problem in a unified way.

Gaze Estimation Gaze Prediction +1

Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity

1 code implementation NeurIPS 2021 Yan Liu, Zhijie Zhang, Li Niu, Junjie Chen, Liqing Zhang

Specifically, the ability of using mask prior to help detect objects is learned from base categories and transferred to novel categories.

Object Detection Semantic Similarity +1

Online Influence Maximization with Node-level Feedback Using Standard Offline Oracles

no code implementations13 Sep 2021 Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang

So we focus on how to use the standard offline influence maximization oracle which finds the best seed set given the edge parameters as input.

Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

1 code implementation3 Aug 2021 Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, WeiMing Dong, Liqing Zhang, Changsheng Xu, Xing Sun

Vision transformers (ViTs) have recently received explosive popularity, but the huge computational cost is still a severe issue.

Image Classification

Network Inference and Influence Maximization from Samples

no code implementations7 Jun 2021 Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang

Our IMS algorithms enhance the learning-and-then-optimization approach by allowing a constant approximation ratio even when the diffusion parameters are hard to learn, and we do not need any assumption related to the network structure or diffusion parameters.

Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch

3 code implementations ICLR 2021 Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li

In this paper, we are the first to study training from scratch an N:M fine-grained structured sparse network, which can maintain the advantages of both unstructured fine-grained sparsity and structured coarse-grained sparsity simultaneously on specifically designed GPUs.

Optimization from Structured Samples for Coverage Functions

no code implementations ICML 2020 Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang

We revisit the optimization from samples (OPS) model, which studies the problem of optimizing objective functions directly from the sample data.

Learning Compositional Neural Information Fusion for Human Parsing

1 code implementation ICCV 2019 Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao

The bottom-up and top-down inferences explicitly model the compositional and decompositional relations in human bodies, respectively.

Human Parsing

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