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Yicheng Wang
Researcher at Tencent
Publications - Â 3
Citations - Â 46
Yicheng Wang is an academic researcher from Tencent. The author has contributed to research in topics: Mobile device & Android (operating system). The author has an hindex of 2, co-authored 3 publications receiving 18 citations.
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Proceedings ArticleDOI
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
Andrey Ignatov,Grigory Malivenko,David Plowman,Samarth Shukla,Radu Timofte,Ziyu Zhang,Yicheng Wang,Zilong Huang,Guozhong Luo,Gang Yu,Bin Fu,Yiran Wang,Xingyi Li,Min Shi,Ke Xian,Zhiguo Cao,Jin-Hua Du,Pei-Lin Wu,Chao Ge,Jiaoyang Yao,Fangwen Tu,Bo Li,Jung Eun Yoo,Kwanggyoon Seo,Jialei Xu,Zhenyu Li,Xianming Liu,Junjun Jiang,Wei-Chi Chen,Shayan Joya,Huanhuan Fan,Zhaobing Kang,Ang Li,Tianpeng Feng,Yang Liu,Chuannan Sheng,Jian Yin,Fausto T. Benavides +37 more
TL;DR: The first Mobile AI challenge as discussed by the authors was introduced to develop an end-to-end deep learning-based depth estimation solutions that can demonstrate a nearly real-time performance on smartphones and IoT platforms, where participants were provided with a new large-scale dataset containing RGB-depth image pairs obtained with a dedicated stereo ZED camera producing high-resolution depth maps for objects located at up to 50 meters.
Posted Content
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report.
Andrey Ignatov,Grigory Malivenko,David Plowman,Samarth Shukla,Radu Timofte,Ziyu Zhang,Yicheng Wang,Zilong Huang,Guozhong Luo,Gang Yu,Bin Fu,Yiran Wang,Xingyi Li,Min Shi,Ke Xian,Zhiguo Cao,Jin-Hua Du,Pei-Lin Wu,Chao Ge,Jiaoyang Yao,Fangwen Tu,Bo Li,Jung Eun Yoo,Kwanggyoon Seo,Jialei Xu,Zhenyu Li,Xianming Liu,Junjun Jiang,Wei-Chi Chen,Shayan Joya,Huanhuan Fan,Zhaobing Kang,Ang Li,Tianpeng Feng,Yang Liu,Chuannan Sheng,Jian Yin,Fausto T. Benavide +37 more
TL;DR: The first Mobile AI challenge as discussed by the authors was introduced to develop an end-to-end deep learning-based depth estimation solutions that can demonstrate a nearly real-time performance on smartphones and IoT platforms.
Proceedings ArticleDOI
A Simple Baseline for Fast and Accurate Depth Estimation on Mobile Devices
TL;DR: Li et al. as mentioned in this paper proposed a simple but effective encoder-decoder based network for fast and accurate depth estimation on mobile devices, where the encoder with a fast downsampling strategy is employed to obtain sufficient receptive field and contexts at a faster rate.