most citedSpatio-temporal Relation Modeling for Few-shot Action Recognition

6 citations · 6 across the 6 of their papers we have counts for

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cs.CV2024

Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning

Amandeep Kumar, Muhammad Awais, Sanath Narayan +3

Drawing upon StyleGAN's expressivity and disentangled latent space, existing 2D approaches employ textual prompting to edit facial images with different attributes. In contrast, 3D…

cs.CV2024

Open-Vocabulary Temporal Action Localization using Multimodal Guidance

Akshita Gupta, Aditya Arora, Sanath Narayan +3

Open-Vocabulary Temporal Action Localization (OVTAL) enables a model to recognize any desired action category in videos without the need to explicitly curate training data for all…

cs.CV2024

Do Vision and Language Encoders Represent the World Similarly?

Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali +4

Aligned text-image encoders such as CLIP have become the de facto model for vision-language tasks. Furthermore, modality-specific encoders achieve impressive performances in their…

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…