20 citations · 53 across the 9 of their papers we have counts for
9 papers
Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels
Bo Wan, Tinne Tuytelaars
In this paper, we investigate the task of zero-shot human-object interaction (HOI) detection, a novel paradigm for identifying HOIs without the need for task-specific annotations.…
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
Haiwen Diao, Bo Wan, Ying Zhang +3
Parameter-efficient transfer learning (PETL), i.e., fine-tuning a small portion of parameters, is an effective strategy for adapting pre-trained models to downstream domains. To fu…
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Lucas Beyer, Bo Wan, Gagan Madan +9
There has been a recent explosion of computer vision models which perform many tasks and are composed of an image encoder (usually a ViT) and an autoregressive decoder (usually a T…
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
Bo Wan, Yongfei Liu, Desen Zhou +2
Human object interaction (HOI) detection plays a crucial role in human-centric scene understanding and serves as a fundamental building-block for many vision tasks. One generalizab…
Single Image 3D Object Estimation with Primitive Graph Networks
Qian He, Desen Zhou, Bo Wan +1
Reconstructing 3D object from a single image (RGB or depth) is a fundamental problem in visual scene understanding and yet remains challenging due to its ill-posed nature and compl…
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li, Songyang Zhang, Bo Wan +1
Scene graph generation is an important visual understanding task with a broad range of vision applications. Despite recent tremendous progress, it remains challenging due to the in…