348 citations · 1.6k across the 25 of their papers we have counts for
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cs.CV2023
Learning Space-Time Semantic Correspondences
Du Tran, Jitendra Malik
We propose a new task of space-time semantic correspondence prediction in videos. Given a source video, a target video, and a set of space-time key-points in the source video, the…
cs.CV2023★ 1 cited
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
Raghav Goyal, Effrosyni Mavroudi, Xitong Yang +5
Video understanding tasks take many forms, from action detection to visual query localization and spatio-temporal grounding of sentences. These tasks differ in the type of inputs (…
cs.CV2023★ 1 cited
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision
Tarun Kalluri, Weiyao Wang, Heng Wang +3
Many top-down architectures for instance segmentation achieve significant success when trained and tested on pre-defined closed-world taxonomy. However, when deployed in the open w…