Search Results for author: Chunhua Deng

Found 4 papers, 0 papers with code

MAML MOT: Multiple Object Tracking based on Meta-Learning

no code implementations12 May 2024 Jiayi Chen, Chunhua Deng

With the advancement of video analysis technology, the multi-object tracking (MOT) problem in complex scenes involving pedestrians is gaining increasing importance.

Meta-Learning Multi-Object Tracking +3

Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition

no code implementations5 Dec 2022 Yu Gong, Miao Yin, Lingyi Huang, Chunhua Deng, Yang Sui, Bo Yuan

Meanwhile, compared with the state-of-the-art tensor decomposed model-oriented hardware TIE, our proposed FDHT-LSTM architecture achieves better performance in throughput, area efficiency and energy efficiency, respectively on LSTM-Youtube workload.

Tensor Decomposition Video Recognition

Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding

no code implementations8 Feb 2021 Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan

Recently deep neural networks have been successfully applied in channel coding to improve the decoding performance.

Decoder Vocal Bursts Intensity Prediction

PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices

no code implementations23 Apr 2020 Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan

On the other hand, the recent structured matrix-based approach (i. e., CirCNN) is limited by the relatively complex arithmetic computation (i. e., FFT), less flexible compression ratio, and its inability to fully utilize input sparsity.

Model Compression

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