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20172024
most citedRTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer

76 citations · 400 across the 32 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV202020 cited

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei, Hannan Lu, Radu Timofte +68

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…

eess.IV2020

Real Image Super Resolution Via Heterogeneous Model Ensemble using GP-NAS

Zhihong Pan, Baopu Li, Teng Xi +5

With advancement in deep neural network (DNN), recent state-of-the-art (SOTA) image superresolution (SR) methods have achieved impressive performance using deep residual network wi…

cs.CV20202 cited

Learning Global Structure Consistency for Robust Object Tracking

Bi Li, Chengquan Zhang, Zhibin Hong +5

Fast appearance variations and the distractions of similar objects are two of the most challenging problems in visual object tracking. Unlike many existing trackers that focus on m…

cs.CV2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87

This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…

cs.CV202054 cited

Learning Generalized Spoof Cues for Face Anti-spoofing

Haocheng Feng, Zhibin Hong, Haixiao Yue +5

Many existing face anti-spoofing (FAS) methods focus on modeling the decision boundaries for some predefined spoof types. However, the diversity of the spoof samples including the…

cs.CV2020

Towards Accurate Scene Text Recognition with Semantic Reasoning Networks

Deli Yu, Xuan Li, Chengquan Zhang +3

Scene text image contains two levels of contents: visual texture and semantic information. Although the previous scene text recognition methods have made great progress over the pa…