1 code implementation • 1 Mar 2024 • Lingyu Gu, Yongqi Du, Yuan Zhang, Di Xie, ShiLiang Pu, Robert C. Qiu, Zhenyu Liao
Modern deep neural networks (DNNs) are extremely powerful; however, this comes at the price of increased depth and having more parameters per layer, making their training and inference more computationally challenging.
no code implementations • 27 Feb 2024 • Junshuo Liu, Yunlong Huang, Wei Yang, Zhe Li, Rujing Xiong, Tiebin Mi, Xin Shi, Robert C. Qiu
Human activity recognition (HAR) holds significant importance in smart homes, security, and healthcare.
1 code implementation • 5 Feb 2024 • Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao
Deep equilibrium models (DEQs), as a typical implicit neural network, have demonstrated remarkable success on various tasks.
no code implementations • 28 Dec 2023 • Yuhang Zhang, Yuang Deng, Xiaopeng Zhang, Jie Li, Robert C. Qiu, Qi Tian
In DeLR, the query is based on region-level, and we only annotate the object region that is queried; 2) Instead of directly providing both localization and recognition annotations, we separately query the two components, and thus reduce the recognition budget with the pseudo class labels provided by the model.
no code implementations • 29 Oct 2023 • Junshuo Liu, Rujing Xiong, Jialong Lu, Tiebin Mi, Robert C. Qiu
The conventional beam management procedure mandates that the user equipment (UE) periodically measure the received signal reference power (RSRP) and transmit these measurements to the base station (BS).
no code implementations • 13 Oct 2023 • Songpengcheng Xia, Lei Chu, Ling Pei, Jiarui Yang, Wenxian Yu, Robert C. Qiu
To address these challenges, we propose a novel method for joint activity segmentation and recognition with timestamp supervision, in which only a single annotated sample is needed in each activity segment.
no code implementations • 31 Aug 2023 • Zenan Ling, Zhenyu Liao, Robert C. Qiu
Implicit neural networks have demonstrated remarkable success in various tasks.
no code implementations • 30 Aug 2023 • Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu
Existing works tend to use either image-guided methods, which provide a visual reference but lack control over semantic coherence, or text-guided methods, which ensure faithfulness to text guidance but lack visual quality.
no code implementations • 16 Aug 2022 • Songpengcheng Xia, Lei Chu, Ling Pei, Wenxian Yu, Robert C. Qiu
Human activity recognition (HAR) with wearables is promising research that can be widely adopted in many smart healthcare applications.
no code implementations • 22 Jan 2022 • Siyan Li, Yue Xiao, Yuhang Zhang, Lei Chu, Robert C. Qiu
It is a challenging problem to detect and recognize targets on complex large-scene Synthetic Aperture Radar (SAR) images.
no code implementations • CVPR 2022 • Yuhang Zhang, Xiaopeng Zhang, Lingxi Xie, Jie Li, Robert C. Qiu, Hengtong Hu, Qi Tian
The Yes query is treated as positive pairs of the queried category for contrastive pulling, while the No query is treated as hard negative pairs for contrastive repelling.
no code implementations • 8 Jan 2019 • Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang
In this paper, we propose to disentangle and interpret contextual effects that are encoded in a pre-trained deep neural network.
1 code implementation • 16 Aug 2018 • Fei Wen, Lei Chu, Peilin Liu, Robert C. Qiu
In recent, nonconvex regularization based sparse and low-rank recovery is of considerable interest and it in fact is a main driver of the recent progress in nonconvex and nonsmooth optimization.
no code implementations • 31 Jul 2018 • Zenan Ling, Xing He, Robert C. Qiu
We revisit the initialization of deep residual networks (ResNets) by introducing a novel analytical tool in free probability to the community of deep learning.
no code implementations • 16 Jan 2018 • Zenan Ling, Robert C. Qiu, Zhijian Jin, Yuhang Zhang, Xing He, Haichun Liu, Lei Chu
The location of broken insulators in aerial images is a challenging task.
1 code implementation • 15 Apr 2016 • Fei Wen, Yuan Yang, Peilin Liu, Robert C. Qiu
Further, the statistical properties of the new estimators have been analyzed for generalized nonconvex penalties.