{"total":39,"rows":[{"id":"2310.00120","title":"Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs","created":"2023-09-29","cited_by_count":68,"area":null},{"id":"2107.03436","title":"Tensor Methods in Computer Vision and Deep Learning","created":"2021-07-07","cited_by_count":52,"area":null},{"id":"2307.02227","title":"MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition","created":"2023-07-05","cited_by_count":43,"area":null},{"id":"2312.05447","title":"From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos","created":"2023-12-09","cited_by_count":39,"area":null},{"id":"2103.08756","title":"Revisiting Dynamic Convolution via Matrix Decomposition","created":"2021-03-15","cited_by_count":35,"area":null},{"id":"2302.09019","title":"Tensor Networks Meet Neural Networks: A Survey and Future Perspectives","created":"2023-01-22","cited_by_count":32,"area":null},{"id":"2407.02157","title":"FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs","created":"2024-07-02","cited_by_count":30,"area":null},{"id":"2206.04975","title":"NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition","created":"2022-06-10","cited_by_count":27,"area":null},{"id":"2103.16554","title":"Pre-training strategies and datasets for facial representation learning","created":"2021-03-30","cited_by_count":26,"area":null},{"id":"2106.00136","title":"Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning","created":"2021-05-31","cited_by_count":25,"area":null},{"id":"2206.05833","title":"COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition","created":"2022-06-12","cited_by_count":22,"area":null},{"id":"2103.13372","title":"Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition","created":"2021-03-24","cited_by_count":16,"area":null},{"id":"2111.11736","title":"Tensor Component Analysis for Interpreting the Latent Space of GANs","created":"2021-11-23","cited_by_count":13,"area":null},{"id":"2401.10341","title":"ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks","created":"2024-01-18","cited_by_count":11,"area":null},{"id":"2205.15307","title":"A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks","created":"2022-05-28","cited_by_count":8,"area":null},{"id":"2208.03934","title":"Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images","created":"2022-08-08","cited_by_count":8,"area":null},{"id":"2209.12172","title":"Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition","created":"2022-09-25","cited_by_count":8,"area":null},{"id":"2310.14576","title":"Tensor Decomposition Based Attention Module for Spiking Neural Networks","created":"2023-10-23","cited_by_count":8,"area":null},{"id":"2110.14524","title":"Model based Multi-agent Reinforcement Learning with Tensor Decompositions","created":"2021-10-27","cited_by_count":7,"area":null},{"id":"2206.11128","title":"tntorch: Tensor Network Learning with PyTorch","created":"2022-06-22","cited_by_count":7,"area":null},{"id":"2408.02164","title":"Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency","created":"2024-08-04","cited_by_count":7,"area":null},{"id":"2110.14538","title":"Reinforcement Learning in Factored Action Spaces using Tensor Decompositions","created":"2021-10-27","cited_by_count":6,"area":null},{"id":"2303.06316","title":"One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks","created":"2023-03-11","cited_by_count":6,"area":null},{"id":"2401.16058","title":"Neuromorphic Valence and Arousal Estimation","created":"2024-01-29","cited_by_count":5,"area":null},{"id":"2103.15108","title":"Meta-Mining Discriminative Samples for Kinship Verification","created":"2021-03-28","cited_by_count":4,"area":null},{"id":"2207.01113","title":"Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?","created":"2022-07-03","cited_by_count":4,"area":null},{"id":"2205.12961","title":"Position: Tensor Networks are a Valuable Asset for Green AI","created":"2022-05-25","cited_by_count":3,"area":null},{"id":"2208.00344","title":"Towards Intercultural Affect Recognition: Audio-Visual Affect Recognition in the Wild Across Six Cultures","created":"2022-07-31","cited_by_count":2,"area":null},{"id":"2210.11341","title":"SS-VAERR: Self-Supervised Apparent Emotional Reaction Recognition from Video","created":"2022-10-20","cited_by_count":2,"area":null},{"id":"2305.05318","title":"How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?","created":"2023-05-09","cited_by_count":2,"area":null},{"id":"2308.02173","title":"Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning","created":"2023-08-04","cited_by_count":2,"area":null},{"id":"2309.14157","title":"LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch","created":"2023-09-25","cited_by_count":2,"area":null},{"id":"2102.03494","title":"FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data","created":"2021-02-06","cited_by_count":1,"area":null},{"id":"2112.04857","title":"A New Measure of Model Redundancy for Compressed Convolutional Neural Networks","created":"2021-12-09","cited_by_count":1,"area":null},{"id":"2412.00277","title":"Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation","created":"2024-11-29","cited_by_count":1,"area":null},{"id":"2405.10802","title":"Reduced storage direct tensor ring decomposition for convolutional neural networks compression","created":"2024-05-17","cited_by_count":0,"area":null},{"id":"2505.05043","title":"xTrace: A Facial Expressive Behaviour Analysis Tool for Continuous Affect Recognition","created":"2025-05-08","cited_by_count":0,"area":null},{"id":"2507.09248","title":"AGCD-Net: Attention Guided Context Debiasing Network for Emotion Recognition","created":"2025-07-12","cited_by_count":0,"area":null},{"id":"2512.23917","title":"Tensor Computing Interface: An Application-Oriented, Lightweight Interface for Portable High-Performance Tensor Network Applications","created":"2025-12-30","cited_by_count":0,"area":null}],"next_cursor":null}