Search Results for author: Hongyu Chen

Found 8 papers, 2 papers with code

Visual Captioning at Will: Describing Images and Videos Guided by a Few Stylized Sentences

no code implementations31 Jul 2023 Dingyi Yang, Hongyu Chen, Xinglin Hou, Tiezheng Ge, Yuning Jiang, Qin Jin

To address these limitations, we explore the problem of Few-Shot Stylized Visual Captioning, which aims to generate captions in any desired style, using only a few examples as guidance during inference, without requiring further training.

Image Captioning Language Modelling

Boundary-semantic collaborative guidance network with dual-stream feedback mechanism for salient object detection in optical remote sensing imagery

1 code implementation6 Mar 2023 Dejun Feng, Hongyu Chen, Suning Liu, Ziyang Liao, Xingyu Shen, Yakun Xie, Jun Zhu

Finally, to obtain more complete saliency maps, we consider the uniqueness of the last layer of the decoder for the first time and propose the adaptive feedback refinement (AFR) module, which further refines feature representation and eliminates differences between features through a unique feedback mechanism.

object-detection Object Detection +1

An Empirical Study of Low Precision Quantization for TinyML

no code implementations10 Mar 2022 Shaojie Zhuo, Hongyu Chen, Ramchalam Kinattinkara Ramakrishnan, Tommy Chen, Chen Feng, Yicheng Lin, Parker Zhang, Liang Shen

In this study, we focus on post-training quantization (PTQ) algorithms that quantize a model to low-bit (less than 8-bit) precision with only a small set of calibration data and benchmark them on different tinyML use cases.

BIG-bench Machine Learning Model Compression +1

A Zest of LIME: Towards Architecture-Independent Model Distances

no code implementations ICLR 2022 Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot

In this paper, we instead propose to compute distance between black-box models by comparing their Local Interpretable Model-Agnostic Explanations (LIME).

Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods

no code implementations CVPR 2021 Ming-Han Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen

In this paper, we consider stochastic second-order methods for minimizing a finite summation of nonconvex functions.

Second-order methods

Towards Generation and Evaluation of Comprehensive Mapping Robot Datasets

1 code implementation23 May 2019 Hongyu Chen, Xiting Zhao, Jianwen Luo, Zhijie Yang, Zehao Zhao, Haochuan Wan, Xiaoya Ye, Guangyuan Weng, Zhenpeng He, Tian Dong, Sören Schwertfeger

This paper presents a fully hardware synchronized mapping robot with support for a hardware synchronized external tracking system, for super-precise timing and localization.


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