140 citations · 382 across the 16 of their papers we have counts for
23 papers
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation
Koutilya Pnvr, Bharat Singh, Pallabi Ghosh +2
Large-scale pre-training tasks like image classification, captioning, or self-supervised techniques do not incentivize learning the semantic boundaries of objects. However, recent…
Scale Normalized Image Pyramids with AutoFocus for Object Detection
Bharat Singh, Mahyar Najibi, Abhishek Sharma +1
We present an efficient foveal framework to perform object detection. A scale normalized image pyramid (SNIP) is generated that, like human vision, only attends to objects within a…
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
Rohun Tripathi, Vasu Singla, Mahyar Najibi +3
The widely adopted sequential variant of Non Maximum Suppression (or Greedy-NMS) is a crucial module for object-detection pipelines. Unfortunately, for the region proposal stage of…
RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks
Rohun Tripathi, Bharat Singh
We propose RSO (random search optimization), a gradient free Markov Chain Monte Carlo search based approach for training deep neural networks. To this end, RSO adds a perturbation…
Recognizing Instagram Filtered Images with Feature De-stylization
Zhe Wu, Zuxuan Wu, Bharat Singh +1
Deep neural networks have been shown to suffer from poor generalization when small perturbations are added (like Gaussian noise), yet little work has been done to evaluate their ro…
Automatic Long-Term Deception Detection in Group Interaction Videos
Chongyang Bai, Maksim Bolonkin, Judee Burgoon +5
Most work on automated deception detection (ADD) in video has two restrictions: (i) it focuses on a video of one person, and (ii) it focuses on a single act of deception in a one o…