1 citations · 2 across the 7 of their papers we have counts for
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Activating Self-Attention for Multi-Scene Absolute Pose Regression
Miso Lee, Jihwan Kim, Jae-Pil Heo
Multi-scene absolute pose regression addresses the demand for fast and memory-efficient camera pose estimation across various real-world environments. Nowadays, transformer-based m…
Long-term Pre-training for Temporal Action Detection with Transformers
Jihwan Kim, Miso Lee, Jae-Pil Heo
Temporal action detection (TAD) is challenging, yet fundamental for real-world video applications. Recently, DETR-based models for TAD have been prevailing thanks to their unique b…
Boundary-Recovering Network for Temporal Action Detection
Jihwan Kim, Jaehyun Choi, Yerim Jeon +1
Temporal action detection (TAD) is challenging, yet fundamental for real-world video applications. Large temporal scale variation of actions is one of the most primary difficulties…
Prediction-Feedback DETR for Temporal Action Detection
Jihwan Kim, Miso Lee, Cheol-Ho Cho +2
Temporal Action Detection (TAD) is fundamental yet challenging for real-world video applications. Leveraging the unique benefits of transformers, various DETR-based approaches have…
Mutually-Aware Feature Learning for Few-Shot Object Counting
Yerim Jeon, Subeen Lee, Jihwan Kim +1
Few-shot object counting has garnered significant attention for its practicality as it aims to count target objects in a query image based on given exemplars without additional tra…