6 citations · 6 across the 6 of their papers we have counts for
7 papers
A lift for input-convex neural net training
Ali Siahkoohi, Anirudh Thatipelli
Input-convex neural nets parametrize the convex potentials of density models and transport maps, and their convexity requires the inter-layer weights to be non-negative. Projected…
Hypernetwork-based approach for grid-independent functional data clustering
Anirudh Thatipelli, Ali Siahkoohi
Functional data clustering is concerned with grouping functions that share similar structure, yet most existing methods implicitly operate on sampled grids, causing cluster assignm…
MIRA: Towards Mitigating Reward Hacking in Inference-Time Alignment of T2I Diffusion Models
Kevin Zhai, Utsav Singh, Anirudh Thatipelli +5
Diffusion models excel at generating images conditioned on text prompts, but the resulting images often do not satisfy user-specific criteria measured by scalar rewards such as Aes…
Egocentric and Exocentric Methods: A Short Survey
Anirudh Thatipelli, Shao-Yuan Lo, Amit K. Roy-Chowdhury
Egocentric vision captures the scene from the point of view of the camera wearer, while exocentric vision captures the overall scene context. Jointly modeling ego and exo views is…
Spatio-temporal Relation Modeling for Few-shot Action Recognition
Anirudh Thatipelli, Sanath Narayan, Salman Khan +3
We propose a novel few-shot action recognition framework, STRM, which enhances class-specific feature discriminability while simultaneously learning higher-order temporal represent…
NTU-X: An Enhanced Large-scale Dataset for Improving Pose-based Recognition of Subtle Human Actions
Neel Trivedi, Anirudh Thatipelli, Ravi Kiran Sarvadevabhatla
The lack of fine-grained joints (facial joints, hand fingers) is a fundamental performance bottleneck for state of the art skeleton action recognition models. Despite this bottlene…
Quo Vadis, Skeleton Action Recognition ?
Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal +4
In this paper, we study current and upcoming frontiers across the landscape of skeleton-based human action recognition. To study skeleton-action recognition in the wild, we introdu…