Search Results for author: Jason Gu

Found 10 papers, 1 papers with code

Aligning Knowledge Graph with Visual Perception for Object-goal Navigation

1 code implementation29 Feb 2024 Nuo Xu, Wen Wang, Rong Yang, Mengjie Qin, Zheyuan Lin, Wei Song, Chunlong Zhang, Jason Gu, Chao Li

Object-goal navigation is a challenging task that requires guiding an agent to specific objects based on first-person visual observations.

Object

Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery

no code implementations7 Oct 2023 Qi Li, Jiaxin Cai, Yuanlong Yu, Jason Gu, Jia Pan, Wenxi Liu

Within the domain of UAV imagery analysis, the segmentation of ultra-high resolution images emerges as a substantial and intricate challenge, especially when grappling with the constraints imposed by GPU memory-restricted computational devices.

Segmentation Semantic Segmentation

Subtractor-Based CNN Inference Accelerator

no code implementations2 Oct 2023 Victor Gao, Issam Hammad, Kamal El-Sankary, Jason Gu

This paper presents a novel method to boost the performance of CNN inference accelerators by utilizing subtractors.

Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding

no code implementations27 Jan 2023 Yaoxian Song, Penglei Sun, Piaopiao Jin, Yi Ren, Yu Zheng, Zhixu Li, Xiaowen Chu, Yue Zhang, Tiefeng Li, Jason Gu

From the perspective of robotic cognition, we design a two-stage fine-grained robotic grasping framework (named LangPartGPD), including a novel 3D part language grounding model and a part-aware grasp pose detection model, in which explicit language input from human or large language models (LLMs) could guide a robot to generate part-level 6-DoF grasping pose with textual explanation.

Representation Learning Robotic Grasping

End-To-End Audiovisual Feature Fusion for Active Speaker Detection

no code implementations27 Jul 2022 Fiseha B. Tesema, Zheyuan Lin, Shiqiang Zhu, Wei Song, Jason Gu, Hong Wu

After fusion, one BiGRU layer is attached to model the joint temporal dynamics.

BCOT: A Markerless High-Precision 3D Object Tracking Benchmark

no code implementations CVPR 2022 Jiachen Li, Bin Wang, Shiqiang Zhu, Xin Cao, Fan Zhong, Wenxuan Chen, Te Li, Jason Gu, Xueying Qin

Our new benchmark dataset contains 20 textureless objects, 22 scenes, 404 video sequences and 126K images captured in real scenes.

3D Object Tracking Object +2

A Comparative Study on Machine Learning Algorithms for the Control of a Wall Following Robot

no code implementations26 Dec 2019 Issam Hammad, Kamal El-Sankary, Jason Gu

A comparison of the performance of various machine learning models to predict the direction of a wall following robot is presented in this paper.

BIG-bench Machine Learning Sensor Fusion

Deep Learning Training with Simulated Approximate Multipliers

no code implementations26 Dec 2019 Issam Hammad, Kamal El-Sankary, Jason Gu

The paper demonstrates that using approximate multipliers for CNN training can significantly enhance the performance in terms of speed, power, and area at the cost of a small negative impact on the achieved accuracy.

Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment

no code implementations3 Jan 2019 Weidong Zhang, Wei zhang, Jason Gu

More specifically, we present an encoder-decoder network with shared encoder and two separate decoders, which are composed of multiple deconvolution (transposed convolution) layers, to jointly learn the edge maps and semantic labels of a room image.

Decoder

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