no code implementations • 2 May 2024 • Dongfu Jiang, Xuan He, Huaye Zeng, Cong Wei, Max Ku, Qian Liu, Wenhu Chen
We evaluate the trained Mantis on five multi-image benchmarks and eight single-image benchmarks.
1 code implementation • 11 Mar 2024 • Tiancheng Zhao, Peng Liu, Xuan He, Lu Zhang, Kyusong Lee
End-to-end transformer-based detectors (DETRs) have shown exceptional performance in both closed-set and open-vocabulary object detection (OVD) tasks through the integration of language modalities.
1 code implementation • 28 Feb 2024 • Jiacheng Lin, Jiajun Chen, Kunyu Peng, Xuan He, Zhiyong Li, Rainer Stiefelhagen, Kailun Yang
This paper introduces the task of Auditory Referring Multi-Object Tracking (AR-MOT), which dynamically tracks specific objects in a video sequence based on audio expressions and appears as a challenging problem in autonomous driving.
no code implementations • 25 Jan 2024 • Jing Li, Zhijie Sun, Xuan He, Li Zeng, Yi Lin, Entong Li, Binfan Zheng, Rongqian Zhao, Xin Chen
However, the performance of MoE is limited by load imbalance and high latency of All-To-All communication, along with relatively redundant computation owing to large expert capacity.
no code implementations • 11 Dec 2023 • Xuan He, Danny H. K. Tsang, Yize Chen
In this paper, we propose a novel planning and operation model minimizing the system-level carbon emissions via sitting and operating geographically shiftable resources.
no code implementations • 10 Dec 2023 • Hongwei Hou, Xuan He, Tianhao Fang, Xinping Yi, Wenjin Wang, Shi Jin
This paper investigates the uplink channel estimation of the millimeter-wave (mmWave) extremely large-scale multiple-input-multiple-output (XL-MIMO) communication system in the beam-delay domain, taking into account the near-field and beam-squint effects due to the transmission bandwidth and array aperture growth.
no code implementations • 12 Sep 2023 • Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
Extensive simulations on both specific load samples and load regions validate the proposed technique can screen out more than 80% constraints while preserving the feasibility of multi-interval UC problem.
no code implementations • 2 Sep 2023 • Xuan He, Kailun Yang, Junwei Zheng, Jin Yuan, Luis M. Bergasa, HUI ZHANG, Zhiyong Li
These methods typically use visual and depth representations to generate query points on objects, whose quality plays a decisive role in the detection accuracy.
1 code implementation • 12 May 2023 • Xuan He, Fan Yang, Kailun Yang, Jiacheng Lin, Haolong Fu, Meng Wang, Jin Yuan, Zhiyong Li
To tackle this problem, this paper proposes a novel "Supervised Scale-aware Deformable Attention" (SSDA) for monocular 3D object detection.
no code implementations • 1 Dec 2022 • Xuan He, Honglin Wen, Yufan Zhang, Yize Chen
Unit commitment (UC) are essential tools to transmission system operators for finding the most economical and feasible generation schedules and dispatch signals.