activity
20162024
most citedBeyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

1.8k citations · 1.9k across the 16 of their papers we have counts for

collaborators

16 papers

cs.CV2024

SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking

Siyuan Li, Lei Ke, Yung-Hsu Yang +4

Open-vocabulary Multiple Object Tracking (MOT) aims to generalize trackers to novel categories not in the training set. Currently, the best-performing methods are mainly based on p…

cs.CV2024

Analyzing Local Representations of Self-supervised Vision Transformers

Ani Vanyan, Alvard Barseghyan, Hakob Tamazyan +3

In this paper, we present a comparative analysis of various self-supervised Vision Transformers (ViTs), focusing on their local representative power. Inspired by large language mod…

cs.CV2023

R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras

Aron Schmied, Tobias Fischer, Martin Danelljan +2

Dense 3D reconstruction and ego-motion estimation are key challenges in autonomous driving and robotics. Compared to the complex, multi-modal systems deployed today, multi-camera s…

cs.CV20232 cited

Cascade-DETR: Delving into High-Quality Universal Object Detection

Mingqiao Ye, Lei Ke, Siyuan Li +4

Object localization in general environments is a fundamental part of vision systems. While dominating on the COCO benchmark, recent Transformer-based detection methods are not comp…

cs.CV2023

StyleGenes: Discrete and Efficient Latent Distributions for GANs

Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis +3

We propose a discrete latent distribution for Generative Adversarial Networks (GANs). Instead of drawing latent vectors from a continuous prior, we sample from a finite set of lear…

cs.CV2023

Mask-Free Video Instance Segmentation

Lei Ke, Martin Danelljan, Henghui Ding +3

The recent advancement in Video Instance Segmentation (VIS) has largely been driven by the use of deeper and increasingly data-hungry transformer-based models. However, video masks…