activity
20222024
most citedTransformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art

29 citations · 45 across the 9 of their papers we have counts for

collaborators

15 papers

cs.CV2025

AdaRD-key: Adaptive Relevance-Diversity Keyframe Sampling for Long-form Video understanding

Xian Zhang, Zexi Wu, Zinuo Li +5

Understanding long-form videos remains a significant challenge for vision--language models (VLMs) due to their extensive temporal length and high information density. Most current…

cs.CV2025

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting

Ashkan Taghipour, Vahid Naghshin, Benjamin Southwell +3

3D Gaussian Splatting (3DGS) enables fast, high-quality novel view synthesis but typically relies on densification followed by pruning to optimize the number of Gaussians. Existing…

cs.CV2025

LatentMove: Towards Complex Human Movement Video Generation

Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun +5

Image-to-video (I2V) generation seeks to produce realistic motion sequences from a single reference image. Although recent methods exhibit strong temporal consistency, they often s…

cs.CV20242 cited

UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation

Chengyuan Zhang, Yilin Zhang, Lei Zhu +6

This paper introduces a novel framework for unified incremental few-shot object detection (iFSOD) and instance segmentation (iFSIS) using the Transformer architecture. Our goal is…

cs.CV2024

A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures

Tahmina Khanam, Hamid Laga, Mohammed Bennamoun +5

We propose the first comprehensive approach for modeling and analyzing the spatiotemporal shape variability in tree-like 4D objects, i.e., 3D objects whose shapes bend, stretch, an…

cs.CV20241 cited

Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions

Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun +4

This paper investigates the role of CLIP image embeddings within the Stable Video Diffusion (SVD) framework, focusing on their impact on video generation quality and computational…