Search Results for author: Guangyu Ren

Found 10 papers, 3 papers with code

Adaptive Anchor Label Propagation for Transductive Few-Shot Learning

1 code implementation30 Oct 2023 Michalis Lazarou, Yannis Avrithis, Guangyu Ren, Tania Stathaki

Our novel algorithm, Adaptive Anchor Label Propagation}, outperforms the standard label propagation algorithm by as much as 7% and 2% in the 1-shot and 5-shot settings respectively.

Few-Shot Learning

Multi-Modal Hybrid Learning and Sequential Training for RGB-T Saliency Detection

no code implementations13 Sep 2023 Guangyu Ren, Jitesh Joshi, Youngjun Cho

To address this, we first propose a Multi-Modal Hybrid loss (MMHL) that comprises supervised and self-supervised loss functions.

Saliency Detection

Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers

no code implementations21 Nov 2022 Guangyu Ren, Michalis Lazarou, Jing Yuan, Tania Stathaki

Also, our framework can be utilized to fine-tune models trained on natural image segmentation datasets drastically improving their performance for polyp segmentation and impressively demonstrating superior performance to fully supervised fine-tuning.

Image Segmentation Segmentation +1

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

no code implementations25 May 2022 Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Aleš Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Fangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).

Image Restoration Vocal Bursts Intensity Prediction

Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay

1 code implementation17 Aug 2021 Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath

We evaluate DTGSH on five challenging robotic manipulation tasks in simulated robot environments, where we show that our method can learn more quickly and reach higher performance than other state-of-the-art approaches on all tasks.

Point Processes

PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification

1 code implementation CVPR 2021 Jianan Zhao, Fengliang Qi, Guangyu Ren, Lin Xu

Vehicle re-identification (re-ID) is of great significance to urban operation, management, security and has gained more attention in recent years.

Management Vehicle Re-Identification

Dynamic Knowledge Distillation With Noise Elimination for RGB-D Salient Object Detection

no code implementations17 Jun 2021 Guangyu Ren, Yinxiao Yu, Hengyan Liu, Tania Stathaki

RGB-D salient object detection (SOD) demonstrates its superiority on detecting in complex environments due to the additional depth information introduced in the data.

Knowledge Distillation object-detection +2

Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection

no code implementations7 Jun 2021 Guangyu Ren, Yanchu Xie, Tianhong Dai, Tania Stathaki

We further introduce a mask-guided refinement module(MGRM) to complement the high-level semantic features and reduce the irrelevant features from multi-scale fusion, leading to an overall refinement of detection.

object-detection RGB-D Salient Object Detection +1

Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection

no code implementations25 Oct 2019 Tianrui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki

In this paper, we propose a gated multi-layer convolutional feature extraction method which can adaptively generate discriminative features for candidate pedestrian regions.

Pedestrian Detection

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