IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
IVMSP-CN1: Image, Video, and Multidimensional Signal Processing
Fri, 28 Oct, 15:30 - 17:30 China Time (UTC +8)
Fri, 28 Oct, 07:30 - 09:30 UTC
Location: Orchid Room, Level 2
Track: Image, Video, and Multidimensional Signal Processing

IVMSP-CN1.1: End-to-end multi-modal speech recognition with air and bone conducted speech

Junqi Chen, Mou Wang, Northwestern Polytechnical University, China; Xiao-Lei Zhang, Northwestern Polytechnic University, China; Zhiyong Huang, Susanto Rahardja, National University of Singapore, Singapore

IVMSP-CN1.2: SDETR: Attention-guided Salient Object Detection with Transformer

Guanze Liu, Bo Xu, Han Huang, Yandong Guo, OPPO Research Institute, China; Cheng Lu, Xmotors, China

IVMSP-CN1.3: LEARNING TASK-SPECIFIC REPRESENTATION FOR VIDEO ANOMALY DETECTION WITH SPATIAL-TEMPORAL ATTENTION

Yang Liu, Jing Liu, Donglai Wei, Xiaohong Huang, Liang Song, Fudan University, China; Xiaoguang Zhu, Shanghai Jiao Tong University, China

IVMSP-CN1.4: Texture Information Boosts Video Quality Assessment

Ao-Xiang Zhang, Yuan-Gen Wang, Guangzhou University, China

IVMSP-CN1.5: SPECTRAL-SPATIAL SYMMETRICAL AGGREGATION CROSS-LINKING MULTI-MODAL DATA FUSION NETWORK

Jinping Wang, Jun Li, Xiaojun Tan, Sun Yat-sen University, China

IVMSP-CN1.6: SADN: LEARNED LIGHT FIELD IMAGE COMPRESSION WITH SPATIAL-ANGULAR DECORRELATION

Kedeng Tong, Xin Jin, Chen Wang, Fan Jiang, Tsinghua University, China

IVMSP-CN1.7: TH-NET: A METHOD OF SINGLE 3D OBJECT TRACKING BASED ON TRANSFORMERS AND HAUSDORFF DISTANCE

Zihao Zhang, Nan Sang, Xupeng Wang, University of Electronic Science and Technology of China, China

IVMSP-CN1.8: NON-RIGID TRANSFORMATION BASED ADVERSARIAL ATTACK AGAINST 3D OBJECT TRACKING

Riran Cheng, Nan Sang, Yinyuan Zhou, Xupeng Wang, University of Electronic Science and Technology of China, China