12 citations · 19 across the 6 of their papers we have counts for
6 papers
LAW & ORDER: Adaptive Spatial Weighting for Medical Diffusion and Segmentation
Anugunj Naman, Ayushman Singh, Gaibo Zhang +1
Medical image analysis depends on accurate segmentation and controllable synthesis, but both tasks face severe spatial imbalance: lesions occupy small regions against large backgro…
DISK: Dynamic Inference SKipping for World Models
Anugunj Naman, Gaibo Zhang, Ayushman Singh +1
We present DISK, a training-free adaptive inference method for autoregressive world models. DISK coordinates two coupled diffusion transformers for video and ego-trajectory via dua…
Automating Work Orders and Tracking Winter Snow Plows and Patrol Vehicles with Telematics Data
Anugunj Naman, Aaron Ault, Yaguang Zhang +1
Winter road maintenance is a critical priority for the Indiana Department of Transportation, which manages an extensive fleet across thousands of lane miles. The current manual tra…
FAST: Fast Audio Spectrogram Transformer
Anugunj Naman, Gaibo Zhang
In audio classification, developing efficient and robust models is critical for real-time applications. Inspired by the design principles of MobileViT, we present FAST (Fast Audio…
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition
Anugunj Naman, Chetan Sinha, Liliana Mancini
In this paper, we analyze the feasibility of applying few-shot learning to speech emotion recognition task (SER). The current speech emotion recognition models work exceptionally w…
Removing Class Imbalance using Polarity-GAN: An Uncertainty Sampling Approach
Kumari Deepshikha, Anugunj Naman
Class imbalance is a challenging issue in practical classification problems for deep learning models as well as for traditional models. Traditionally successful countermeasures suc…