Publications
Aditya Panda, Dipti Prasad Mukherjee
ACM Transactions on Multimedia Computing, Communications and Applications, 2024
Summary:Â In this work, we proposed a novel Knowledge-Guided Transformer Network to model the partial associations between visual features of state and object, to better tackle the intra-class variability in unseen state-objcet compositional images.
Aditya Panda, Dipti Prasad Mukherjee
Pattern Recognition, 2024
Isolating Features of Object and Its State for Compositional Zero-Shot Learning
Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee
IEEE Transactions on Emerging Topics in Computational Intelligence, 2023
Bi-Modal Compositional Network for Feature Disentanglement
Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee
IEEE International Conference on Image Processing (ICIP), 2022
Monocular 3D human pose estimation by multiple hypothesis prediction and joint angle supervision
Aditya Panda, Dipti Prasad Mukherjee
IEEE International Conference on Image Processing (ICIP), 2021
Particle swarm optimization with a modified learning strategy and blending crossover
Aditya Panda, Rammohan Mallipeddi, Swagatam Das,
IEEE Symposium Series on Computational Intelligence (SSCI), 2017
Static learning particle swarm optimization with enhanced exploration and exploitation using adaptive swarm size
Aditya Panda, Srijan Ghoshal, Amit Konar, Bonny Banerjee, Atulya K Nagar,
IEEE Congress on Evolutionary Computation (CEC), 2016
Partially Supervised Compositional Zero-Shot Learning by Locality Preserving Neighbourhood Aggregation
Aditya Panda, Dipti Prasad Mukherjee
communicated to an IEEE Transaction
Prompt-Driven Multi-Branch Disentanglement Network for Compositional Zero-Shot Learning
Aditya Panda, Dipti Prasad Mukherjee
communicated to an IEEE Transaction