Search Results for author: Radhika Dua

Found 4 papers, 1 papers with code

ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes

1 code implementation19 Jan 2022 Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar

ConDor is a self-supervised method that learns to Canonicalize the 3D orientation and position for full and partial 3D point clouds.

3D Canonicalization 3D Geometry Perception +2

Natural Attribute-based Shift Detection

no code implementations18 Oct 2021 Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi

Despite the impressive performance of deep networks in vision, language, and healthcare, unpredictable behaviors on samples from the distribution different than the training distribution cause severe problems in deployment.

OOD Detection

Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions

no code implementations24 Oct 2020 Radhika Dua, Sai Srinivas Kancheti, Vineeth N Balasubramanian

To take this a step forward, we introduce a new task: ViQAR (Visual Question Answering and Reasoning), wherein a model must generate the complete answer and a rationale that seeks to justify the generated answer.

General Classification Multiple-choice +3

VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting

no code implementations8 Apr 2019 Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh lall

Extensive experiments on data sources obtained in Delhi demonstrate that the proposed adaptive attention based Bidirectional LSTM Network outperforms several baselines for classification and regression models.

Cannot find the paper you are looking for? You can Submit a new open access paper.