Aditya Prakash

Conditional-Batch-Norm. Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"

hands. [ECCV'24] 3D Hand Pose Estimation in Everyday Egocentric Images

DRNET. PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

latentact. [CVPR'25] How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions

LanguageModel-using-Attention. Pytorch implementation of a basic language model using Attention in LSTM network

wild-hoi. [ECCV'24] 3D Reconstruction of Objects in Hands without Real World 3D Supervision

Variants_of_U-net. Implementations of different variations of U-net - adding deconv layers, dense net variant and including skip connections

ambiguity. [ECCV'24] Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops

Twin-Networks-for-Sequence-Generation. ICLR 2018 Reproducibility Challenge: Paper - "Twin Networks: Matching the Future for Sequence Generation"

Neural-Toolbox-PyTorch. PyTorch implementation of standalone neural modules - CBN, Attention, Glimpse, Modulated ResNet (MODERN), FiLM Layer

forehand4d. Bimanual 3D Hand Motion and Articulation Forecasting in Everyday Images

Face-Mapping. Implementation of style transfer between two faces (face swapping) and real time detection and superimposing of masks on face using dlib and C++

hand_motion_modeling. Python