23 citations · 65 across the 15 of their papers we have counts for
34 papers
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
AJ Piergiovanni, Weicheng Kuo, Anelia Angelova
We present a simple approach which can turn a ViT encoder into an efficient video model, which can seamlessly work with both image and video inputs. By sparsely sampling the inputs…
Pre-training image-language transformers for open-vocabulary tasks
AJ Piergiovanni, Weicheng Kuo, Anelia Angelova
We present a pre-training approach for vision and language transformer models, which is based on a mixture of diverse tasks. We explore both the use of image-text captioning data i…
Mechanical Search on Shelves using a Novel "Bluction" Tool
Huang Huang, Michael Danielczuk, Chung Min Kim +6
Shelves are common in homes, warehouses, and commercial settings due to their storage efficiency. However, this efficiency comes at the cost of reduced visibility and accessibility…
4D-Net for Learned Multi-Modal Alignment
AJ Piergiovanni, Vincent Casser, Michael S. Ryoo +1
We present 4D-Net, a 3D object detection approach, which utilizes 3D Point Cloud and RGB sensing information, both in time. We are able to incorporate the 4D information by perform…
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin +1
3D perception of object shapes from RGB image input is fundamental towards semantic scene understanding, grounding image-based perception in our spatially 3-dimensional real-world…
Learning Open-World Object Proposals without Learning to Classify
Dahun Kim, Tsung-Yi Lin, Anelia Angelova +2
Object proposals have become an integral preprocessing steps of many vision pipelines including object detection, weakly supervised detection, object discovery, tracking, etc. Comp…