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20162025
most citedTemporal Segment Networks: Towards Good Practices for Deep Action Recognition

289 citations · 916 across the 72 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022

ManiFlow: Implicitly Representing Manifolds with Normalizing Flows

Janis Postels, Martin Danelljan, Luc Van Gool +1

Normalizing Flows (NFs) are flexible explicit generative models that have been shown to accurately model complex real-world data distributions. However, their invertibility constra…

cs.CV202210 cited

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility

Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha +7

One of the key factors behind the recent success in visual tracking is the availability of dedicated benchmarks. While being greatly benefiting to the tracking research, existing b…

cs.CV20221 cited

Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation

Guolei Sun, Yun Liu, Hao Tang +3

The essence of video semantic segmentation (VSS) is how to leverage temporal information for prediction. Previous efforts are mainly devoted to developing new techniques to calcula…

eess.IV20221 cited

Fast Online Video Super-Resolution with Deformable Attention Pyramid

Dario Fuoli, Martin Danelljan, Radu Timofte +1

Video super-resolution (VSR) has many applications that pose strict causal, real-time, and latency constraints, including video streaming and TV. We address the VSR problem under t…

cs.CV202216 cited

Collapse by Conditioning: Training Class-conditional GANs with Limited Data

Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel +1

Class-conditioning offers a direct means to control a Generative Adversarial Network (GAN) based on a discrete input variable. While necessary in many applications, the additional…