no code implementations • 13 Mar 2024 • SeshaSai Nath Chinagudaba, Darshan Gera, Krishna Kiran Vamsi Dasu, Uma Shankar S, Kiran K, Anil Singarajpure, Shivayogappa. U, Somashekar N, Vineet Kumar Chadda, Sharath B N
Tuberculosis (TB) remains a global health threat, ranking among the leading causes of mortality worldwide.
no code implementations • 3 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)
1 code implementation • 7 Apr 2023 • Sridhar Sola, Darshan Gera
Facial expression recognition (FER) algorithms work well in constrained environments with little or no occlusion of the face.
no code implementations • 17 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.
1 code implementation • 22 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)
1 code implementation • 19 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.
3 code implementations • 10 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
1 code implementation • 8 Jul 2021 • Darshan Gera, S Balasubramanian
Such noisy annotations impede the performance of FER due to the memorization ability of deep networks.
Facial Expression Recognition Facial Expression Recognition (FER) +1
no code implementations • 28 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
2 code implementations • 29 Sep 2020 • Darshan Gera, S. Balasubramanian
Facial expression recognition(FER) in the wild is crucial for building reliable human-computer interactive systems.
Facial Expression Recognition Facial Expression Recognition (FER)
1 code implementation • 20 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)
5 code implementations • 16 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.