MLSP-L16: Deep Representation Learning for Signals and Data
Oral
Wed, 6 May, 16:30 - 18:30
Location: Room 113
Session Type: Oral
Track: Machine Learning for Signal Processing [ML]
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Wed, 6 May, 16:30 - 16:50

MLSP-L16.1: SUBTRACTIVE MODULATIVE NETWORK WITH LEARNABLE PERIODIC ACTIVATIONS
Tiou Wang, KTH, Sweden; Zhuoqian Yang, EPFL, Switzerland; Markus Flierl, KTH, Sweden; Mathieu Salzmann, Sabine Süsstrunk, EPFL, Switzerland
Wed, 6 May, 16:50 - 17:10

MLSP-L16.2: FACESLEUTH-R: ADAPTIVE ORIENTATION-AWARE ATTENTION FOR ROBUST MICRO-EXPRESSION RECOGNITION
LINQUAN WU, City University of Hong, Hong Kong; Tianxiang Jiang, University of Science and Technology of China, China; HAOYU YANG, University of Electronic Science and Technology of China, China; Wenhao Duan, Ocean University of China, China; Shaochao Lin, Harbin Engineering University, China; Zixuan Wang, City University of Hong, Hong Kong; Yini Fang, Hong Kong University of Science and Technology, Hong Kong; Jacky Keung, City University of Hong, Hong Kong
Wed, 6 May, 17:10 - 17:30

MLSP-L16.3: HFSQVAE: HIERARCHICAL VECTOR QUANTIZATION WITH RESIDUALS FOR FREQUENCY-SPECIFIC EMBEDDING
Min Woo Kim, Seonji Park, Nam Ik Cho, Seoul National University, Korea, Republic of
Wed, 6 May, 17:30 - 17:50

MLSP-L16.4: D2 -DETR: DUAL-SOURCED AUGMENTATION WITH DURATION-AWARE DIFFERENTIAL DECODER FOR VIDEO TEMPORAL GROUNDING
Peng WANG, Rui MENG, Beijing Normal-Hong Kong Baptist University, China
Wed, 6 May, 17:50 - 18:10

MLSP-L16.5: MONGOOSE: DO WE NEED A SCANNER FOR VISION MAMBA?
Badri Patro, Vijay Agneeswaran, Microsoft, India
Wed, 6 May, 18:10 - 18:30

MLSP-L16.6: Vector Quantized Intent Contrastive Learning for Sequential Recommendation
Yuanpeng Qu, Hajime Nobuhara, University of Tsukuba, Japan