12 citations · 32 across the 11 of their papers we have counts for
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cs.CV2024★ 2 cited
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Jifeng Wang, Kaouther Messaoud, Yuejiang Liu +2
Recent advancements in motion forecasting have been significantly accelerated by self-supervised pre-training techniques. However, current methods typically rely on extensive fine-…
cs.CV2022★ 4 cited
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Parth Kothari, Danya Li, Yuejiang Liu +1
Deep motion forecasting models have achieved great success when trained on a massive amount of data. Yet, they often perform poorly when training data is limited. To address this c…