activity
20212025
most citedOcclusion Handling in Generic Object Detection: A Review

78 citations · 79 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Object Counting with GPT-4o and GPT-5: A Comparative Study

Richard Füzesséry, Kaziwa Saleh, Sándor Szénási +1

Zero-shot object counting attempts to estimate the number of object instances belonging to novel categories that the vision model performing the counting has never encountered duri…

cs.CV2025

GPT-4 for Occlusion Order Recovery

Kaziwa Saleh, Zhyar Rzgar K Rostam, Sándor Szénási +1

Occlusion remains a significant challenge for current vision models to robustly interpret complex and dense real-world images and scenes. To address this limitation and to enable a…

cs.CV2024★ 1 cited

Mask Guided Gated Convolution for Amodal Content Completion

Kaziwa Saleh, Sándor Szénási, Zoltán Vámossy

We present a model to reconstruct partially visible objects. The model takes a mask as an input, which we call weighted mask. The mask is utilized by gated convolutions to assign m…

cs.CV2022

BBBD: Bounding Box Based Detector for Occlusion Detection and Order Recovery

Kaziwa Saleh, Zoltan Vamossy

Occlusion handling is one of the challenges of object detection and segmentation, and scene understanding. Because objects appear differently when they are occluded in varying degr…

cs.CV2021★ 78 cited

Occlusion Handling in Generic Object Detection: A Review

Kaziwa Saleh, Sándor Szénási, Zoltán Vámossy

The significant power of deep learning networks has led to enormous development in object detection. Over the last few years, object detector frameworks have achieved tremendous su…