85 citations · 256 across the 30 of their papers we have counts for
11 papers · 1 filter
Zero-Shot Object Counting with Language-Vision Models
Jingyi Xu, Hieu Le, Dimitris Samaras
Class-agnostic object counting aims to count object instances of an arbitrary class at test time. It is challenging but also enables many potential applications. Current methods re…
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting
Jingyi Xu, Hieu Le, Dimitris Samaras
Class-agnostic counting (CAC) has numerous potential applications across various domains. The goal is to count objects of an arbitrary category during testing, based on only a few…
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations
Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras
Denoising diffusion models have gained popularity as a generative modeling technique for producing high-quality and diverse images. Applying these models to downstream tasks requir…
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction
Aggelina Chatziagapi, Dimitris Samaras
In this work, we present a multimodal solution to the problem of 4D face reconstruction from monocular videos. 3D face reconstruction from 2D images is an under-constrained problem…
Zero-shot Object Counting
Jingyi Xu, Hieu Le, Vu Nguyen +2
Class-agnostic object counting aims to count object instances of an arbitrary class at test time. It is challenging but also enables many potential applications. Current methods re…
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Jingyi Xu, Hieu Le, Dimitris Samaras
Two-stage object detectors generate object proposals and classify them to detect objects in images. These proposals often do not contain the objects perfectly but overlap with them…