5 citations · 12 across the 11 of their papers we have counts for
10 papers · 1 filter
ReGain: Restoring Subject Fidelity in Personalization on Synthetic Images
Shubhang Bhatnagar, Ishan Bhatnagar, Viraj Shah +1
Text-to-image diffusion models are personalized to a subject by DreamBooth fine-tuning on a handful of its images. Increasingly, these images come from a diffusion model rather tha…
Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings
Shubhang Bhatnagar, Dheeraj Baiju, Narendra Ahuja
Vision encoders for retrieval are typically trained with class-label supervision: each training pair reduces to a scalar that uniformly pushes the embedding apart or pulls it toget…
LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models
Shubhang Bhatnagar, Andy Xu, Kar-Han Tan +1
Large Language Models (LLMs) with multimodal capabilities have revolutionized vision-language tasks, but their deployment often requires huge memory and computational resources. Po…
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
Samyak Rawlekar, Shubhang Bhatnagar, Narendra Ahuja
Vision-language models (VLMs) like CLIP have been adapted for Multi-Label Recognition (MLR) with partial annotations by leveraging prompt-learning, where positive and negative prom…
Potential Field Based Deep Metric Learning
Shubhang Bhatnagar, Narendra Ahuja
Deep metric learning (DML) involves training a network to learn a semantically meaningful representation space. Many current approaches mine n-tuples of examples and model interact…
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Samyak Rawlekar, Shubhang Bhatnagar, Vishnuvardhan Pogunulu Srinivasulu +1
Multi-label Recognition (MLR) involves the identification of multiple objects within an image. To address the additional complexity of this problem, recent works have leveraged inf…
Piecewise-Linear Manifolds for Deep Metric Learning
Shubhang Bhatnagar, Narendra Ahuja
Unsupervised deep metric learning (UDML) focuses on learning a semantic representation space using only unlabeled data. This challenging problem requires accurately estimating the…
Long-Distance Gesture Recognition using Dynamic Neural Networks
Shubhang Bhatnagar, Sharath Gopal, Narendra Ahuja +1
Gestures form an important medium of communication between humans and machines. An overwhelming majority of existing gesture recognition methods are tailored to a scenario where hu…
PAL : Pretext-based Active Learning
Shubhang Bhatnagar, Sachin Goyal, Darshan Tank +1
The goal of pool-based active learning is to judiciously select a fixed-sized subset of unlabeled samples from a pool to query an oracle for their labels, in order to maximize the…
QR code denoising using parallel Hopfield networks
Ishan Bhatnagar, Shubhang Bhatnagar
We propose a novel algorithm for using Hopfield networks to denoise QR codes. Hopfield networks have mostly been used as a noise tolerant memory or to solve difficult combinatorial…