Emotion Recognition from the perspective of Activity Recognition

no code implementations • 24 Mar 2024 • Savinay Nagendra, Prapti Panigrahi

In this paper, we treat emotion recognition from the perspective of action recognition by exploring the application of deep learning architectures specifically designed for action recognition, for continuous affect recognition.

Action Recognition Emotion Recognition +1

Estimating Uncertainty in Landslide Segmentation Models

no code implementations • 18 Nov 2023 • Savinay Nagendra, Chaopeng Shen, Daniel Kifer

Landslides are a recurring, widespread hazard.

Data Augmentation Landslide segmentation +1

PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization

1 code implementation • 12 Nov 2022 • Savinay Nagendra, Chaopeng Shen, Daniel Kifer

Given the logit scores produced by the base segmentation model, each pixel is given a pseudo-label that is obtained by optimally thresholding the logit scores in each image patch.

Binarization Few-Shot Semantic Segmentation +5

Learning Dynamics from Kinematics: Estimating 2D Foot Pressure Maps from Video Frames

no code implementations • 30 Nov 2018 • Christopher Funk, Savinay Nagendra, Jesse Scott, Bharadwaj Ravichandran, John H. Challis, Robert T. Collins, Yanxi Liu

In biomechanics, Center of Pressure (CoP) is used in studies of human postural control and gait.

Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem

1 code implementation • 3 Oct 2018 • Savinay Nagendra, Nikhil Podila, Rashmi Ugarakhod, Koshy George

In this paper, RL is explored in the context of control of the benchmark cartpole dynamical system with no prior knowledge of the dynamics.

reinforcement-learning Reinforcement Learning (RL)