This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
[BMVC 2023 ] Official code for "STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition"
🎯 Production-ready implementation of video prediction models using PyTorch. Features Enhanced ConvLSTM with temporal attention, PredRNN with spatiotemporal memory, and Transformer-based architecture.
Topic-Aware Abstractive Summarization
Official code for CapST (ACM TOMM 2025): A Capsule Network and Temporal Attention-based framework for Deepfake Model Attribution. Achieves efficient and accurate source identification across DFDM and GAN-generated datasets.
Deep Reinforced Model for Abstractive Summarization
AQuaMoHo is a ML-driven framework to annotate air quality at any location from a low-cost Thermo-Hygrometer
Official code for FAME: A lightweight spatio-temporal framework for Deepfake Model Attribution using VGG-based feature extraction and temporal attention. Outperforms prior methods across DFDM, FF++, and FakeAVCeleb datasets.
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