activity
20172025
most citedMulti-Oriented Text Detection and Verification in Video Frames and Scene Images

46 citations · 151 across the 40 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023

DemoCaricature: Democratising Caricature Generation with a Rough Sketch

Dar-Yen Chen, Ayan Kumar Bhunia, Subhadeep Koley +3

In this paper, we democratise caricature generation, empowering individuals to effortlessly craft personalised caricatures with just a photo and a conceptual sketch. Our objective…

cs.CV2023★ 1 cited

Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes

Hmrishav Bandyopadhyay, Subhadeep Koley, Ayan Das +5

In this paper, we democratise 3D content creation, enabling precise generation of 3D shapes from abstract sketches while overcoming limitations tied to drawing skills. We introduce…

cs.CV2023★ 2 cited

Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings

Ayan Kumar Bhunia, Subhadeep Koley, Amandeep Kumar +4

Human sketch has already proved its worth in various visual understanding tasks (e.g., retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of sket…

cs.CV2023★ 1 cited

Picture that Sketch: Photorealistic Image Generation from Abstract Sketches

Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain +3

Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this paper turns it into a photorealistic image - just like those shown in Fig. 1(a), all non-…

cs.CV2023★ 5 cited

CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not

Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury +3

In this paper, we leverage CLIP for zero-shot sketch based image retrieval (ZS-SBIR). We are largely inspired by recent advances on foundation models and the unparalleled generalis…

cs.CV2023★ 3 cited

Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR

Aneeshan Sain, Ayan Kumar Bhunia, Subhadeep Koley +4

This paper advances the fine-grained sketch-based image retrieval (FG-SBIR) literature by putting forward a strong baseline that overshoots prior state-of-the-arts by ~11%. This is…