no code implementations • 28 Feb 2023 • Sudeep Kumar Sahoo, Sathish Chalasani, Abhishek Joshi, Kiran Nanjunda Iyer
We additionally introduce a novel block called Cross Attention on Multi-level queries with Prior (CAMP) Block that helps reduce error propagation from coarse level to finer level, which is a common problem in all hierarchical classifiers.
1 code implementation • 12 Dec 2022 • Chengzhi Mao, Lingyu Zhang, Abhishek Joshi, Junfeng Yang, Hao Wang, Carl Vondrick
In this paper, we introduce a framework that uses the dense intrinsic constraints in natural images to robustify inference.
no code implementations • 23 Aug 2022 • Abhishek Joshi, Sathish Chalasani, Kiran Nanjunda Iyer
We achieve it by minimizing the energy for in-distribution samples and simultaneously learn respective class representations that are closer and maximizing energy for out-distribution samples and pushing their representation further out from known class representation.
2 code implementations • 13 Nov 2020 • Raghav B. Venkataramaiyer, Abhishek Joshi, Saisha Narang, Vinay P. Namboodiri
Hatching is a common method used by artists to accentuate the third dimension of a sketch, and to illuminate the scene.
6 code implementations • 25 Sep 2020 • Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Abhishek Joshi, Soroush Nasiriany, Yifeng Zhu
robosuite is a simulation framework for robot learning powered by the MuJoCo physics engine.
no code implementations • 14 Apr 2019 • Abhishek Joshi, Vinay P. Namboodiri
Finally through this synthesis approach we obtain a comparable set of abnormal samples that can be used for training the CNN for the classification of normal vs abnormal samples.