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20182026
most citedGuided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism

2 citations · 2 across the 9 of their papers we have counts for

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cs.CV2026

Spectral Query-Key Product Weight Steering for Training-Free VLM Hallucination Mitigation

Karn Tiwari, Varnith Chordia, Prathosh A P

Vision-language models (VLMs) often generate fluent but visually unsupported descriptions, especially by mentioning objects absent from the image. We propose QK Product Steering, a…

cs.CV2024

GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis

Ashish Goswami, Satyam Kumar Modi, Santhosh Rishi Deshineni +3

Text-to-image (T2I) generation has seen significant progress with diffusion models, enabling generation of photo-realistic images from text prompts. Despite this progress, existing…

cs.CV2019

MaskAAE: Latent space optimization for Adversarial Auto-Encoders

Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran +3

The field of neural generative models is dominated by the highly successful Generative Adversarial Networks (GANs) despite their challenges, such as training instability and mode c…

cs.CV20192 cited

Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism

Prashant Pandey, Prathosh AP, Manu Kohli +1

Diagnostic and intervention methodologies for skill assessment of autism typically requires a clinician repetitively initiating several stimuli and recording the child's response.…

cs.CV2019

Variational Inference with Latent Space Quantization for Adversarial Resilience

Vinay Kyatham, Mayank Mishra, Tarun Kumar Yadav +2

Despite their tremendous success in modelling high-dimensional data manifolds, deep neural networks suffer from the threat of adversarial attacks - Existence of perceptually valid…