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Papers
TSTM: Temporal Segmentation for Task-relevant Mask in Visual Reinforcement Learning Generalization
CVPR 2026
Binary_Beasts@DravidianLangTech-EACL 2024: Multimodal Abusive Language Detection in Tamil based on Integrated Approach of Machine Learning and Deep Learning Techniques
EACL 2024
DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion
CVPR 2021
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery
AAAI 2021
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
NeurIPS 2020
Inception LSTM for Next-frame Video Prediction (Student Abstract)
AAAI 2020
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising
Interspeech 2020
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
IJCAI 2019
Exploiting Temporal Consistency for Real-Time Video Depth Estimation
ICCV 2019
Image Generation From Layout
CVPR 2019
Recurrent Attention Model for Pedestrian Attribute Recognition
AAAI 2019
Attention in Convolutional LSTM for Gesture Recognition
NeurIPS 2018
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings
SemEval 2018
Going From Image to Video Saliency: Augmenting Image Salience With Dynamic Attentional Push
CVPR 2018
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems
CoRL 2018
Mobile Video Object Detection With Temporally-Aware Feature Maps
CVPR 2018
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
NeurIPS 2017
Forward-Backward Convolutional LSTM for Acoustic Modeling
Interspeech 2017
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
CVPR 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
NeurIPS 2015