no code implementations • ECCV 2020 • Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia
In order to learn such a scalable depth estimation model, we require a ton of data and labels which are targeted towards specific use-cases.
no code implementations • 11 Apr 2024 • Bin Cheng, Jonathan Fürst, Tobias Jacobs, Celia Garrido-Hidalgo
The creation of high-quality ontologies is crucial for data integration and knowledge-based reasoning, specifically in the context of the rising data economy.
no code implementations • 22 Jan 2024 • Bokai Zhang, Jiayuan Meng, Bin Cheng, Dean Biskup, Svetlana Petculescu, Angela Chapman
Current state-of-the-art methods use both spatial and temporal information to tackle the surgical phase recognition task.
no code implementations • 11 Jan 2024 • Yahui Hou, Bin Cheng
To improve the transient performance, a distributed prescribed performance control protocol consisting of the transformed relative position and the transformed relative velocity is proposed, where the communication topology satisfies the jointly connected assumption.
1 code implementation • ICCV 2023 • Bin Cheng, Zuhao Liu, Yunbo Peng, Yue Lin
Inspired by this, we propose a novel framework named visual concept translator (VCT) with the ability to preserve content in the source image and translate the visual concepts guided by a single reference image.
no code implementations • 26 Oct 2022 • Bin Cheng, Yuezu Lv, Zhongkui Li, Zhisheng Duan
Noting that the existing related results only meeting one or two demands at most are essentially not applicable, in this paper we establish a novel framework to solve the problem of fully distributed consensus with discrete communication and control.
1 code implementation • ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) 2022 • Hansi Liu, Abrar Alali, Mohamed Ibrahim, Bryan Bo Cao, Nicholas Meegan, Hongyu Li, Marco Gruteser, Shubham Jain, Kristin Dana, Ashwin Ashok, Bin Cheng, HongSheng Lu
In this paper, we present Vi-Fi, a multi-modal system that leverages a user’s smartphone WiFi Fine Timing Measurements (FTM) and inertial measurement unit (IMU) sensor data to associate the user detected on a camera footage with their corresponding smartphone identifier (e. g. WiFi MAC address).
1 code implementation • Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation 2021 • Jie Zhao, Bojie Li, Wang Nie, Zhen Geng, Renwei Zhang, Xiong Gao, Bin Cheng, Chen Wu, Yun Cheng, Zheng Li, Peng Di, Kun Zhang, Xuefeng Jin
Existing tensor compilers have proven their effectiveness in deploying deep neural networks on general-purpose hardware like CPU and GPU, but optimizing for neural processing units (NPUs) is still challenging due to the heterogeneous compute units and complicated memory hierarchy.
no code implementations • 28 Jul 2020 • Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia
We present $S^3$Net, a self-supervised framework which combines these complementary features: we use synthetic and real-world images for training while exploiting geometric, temporal, as well as semantic constraints.
1 code implementation • 15 Jun 2019 • Hongsong Wang, Jian Dong, Bin Cheng, Jiashi Feng
We therefore propose a novel Position-Velocity Recurrent Encoder-Decoder (PVRED) for human motion prediction, which makes full use of pose velocities and temporal positional information.