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20152025
most citedLatent Embedding Feedback and Discriminative Features for Zero-Shot Classification

33 citations · 107 across the 28 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

Do VSR Models Generalize Beyond LRS3?

Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Eustache Le Bihan +3

The Lip Reading Sentences-3 (LRS3) benchmark has primarily been the focus of intense research in visual speech recognition (VSR) during the last few years. As a result, there is an…

cs.SD2023

Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping

Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Haithem Boussaid +2

Visual Speech Recognition (VSR) differs from the common perception tasks as it requires deeper reasoning over the video sequence, even by human experts. Despite the recent advances…

cs.CV2023

Remote Sensing Change Detection With Transformers Trained from Scratch

Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal +4

Current transformer-based change detection (CD) approaches either employ a pre-trained model trained on large-scale image classification ImageNet dataset or rely on first pre-train…

cs.CV2023

Video Instance Segmentation in an Open-World

Omkar Thawakar, Sanath Narayan, Hisham Cholakkal +5

Existing video instance segmentation (VIS) approaches generally follow a closed-world assumption, where only seen category instances are identified and spatio-temporally segmented…

cs.CV2023

Generative Multiplane Neural Radiance for 3D-Aware Image Generation

Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan +5

We present a method to efficiently generate 3D-aware high-resolution images that are view-consistent across multiple target views. The proposed multiplane neural radiance model, na…

eess.IV2023★ 1 cited

Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification

Amandeep Kumar, Ankan kumar Bhunia, Sanath Narayan +4

In this work, we propose a few-shot colorectal tissue image generation method for addressing the scarcity of histopathological training data for rare cancer tissues. Our few-shot g…