Search Results for author: Darshan Gera

Found 12 papers, 8 papers with code

Class adaptive threshold and negative class guided noisy annotation robust Facial Expression Recognition

no code implementations3 May 2023 Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar, S Balasubramanian

Instead of discarding the non-confident samples, we impose consistency in the negative classes of those non-confident samples to guide the model to learn better in the positive class.

Facial Expression Recognition Facial Expression Recognition (FER)

Masked Student Dataset of Expressions

1 code implementation7 Apr 2023 Sridhar Sola, Darshan Gera

Facial expression recognition (FER) algorithms work well in constrained environments with little or no occlusion of the face.

Contrastive Learning Facial Expression Recognition +2

ABAW : Facial Expression Recognition in the wild

no code implementations17 Mar 2023 Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar, S Balasubramanian

The fifth Affective Behavior Analysis in-the-wild (ABAW) competition has multiple challenges such as Valence-Arousal Estimation Challenge, Expression Classification Challenge, Action Unit Detection Challenge, Emotional Reaction Intensity Estimation Challenge.

Action Unit Detection Arousal Estimation +2

Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression Recognition

1 code implementation22 Aug 2022 Darshan Gera, Naveen Siva Kumar Badveeti, Bobbili Veerendra Raj Kumar, S Balasubramanian

To handle noisy annotations, we propose a dynamic FER learning framework (DNFER) in which clean samples are selected based on dynamic class specific threshold during training.

Facial Expression Recognition Facial Expression Recognition (FER)

SS-MFAR : Semi-supervised Multi-task Facial Affect Recognition

1 code implementation19 Jul 2022 Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar, S Balasubramanian

Automatic affect recognition has applications in many areas such as education, gaming, software development, automotives, medical care, etc.

Multi-Task Learning

Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations

3 code implementations10 Jul 2021 Darshan Gera, S. Balasubramanian

A dynamic transition mechanism is used to move from supervision loss in early learning to consistency loss for consensus of predictions among networks in the later stage.

Facial Expression Recognition Facial Expression Recognition (FER) +2

Imponderous Net for Facial Expression Recognition in the Wild

no code implementations28 Mar 2021 Darshan Gera, S. Balasubramanian

We leverage on the aforementioned components of deep networks for FER, and analyse, carefully choose and fit them to arrive at Imponderous Net.

Facial Expression Recognition Facial Expression Recognition (FER) +1

Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition

1 code implementation20 Jul 2020 Darshan Gera, S. Balasubramanian

A recent trend to recognize facial expressions in the real-world scenario is to deploy attention based convolutional neural networks (CNNs) locally to signify the importance of facial regions and, combine it with global facial features and/or other complementary context information for performance gain.

Facial Expression Recognition Facial Expression Recognition (FER)

RES-SE-NET: Boosting Performance of Resnets by Enhancing Bridge-connections

5 code implementations16 Feb 2019 Varshaneya V, Balasubramanian S, Darshan Gera

This reduction is due to lack of contribution, in the form of feature maps, by the bridge-connections.

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