34 citations · 47 across the 8 of their papers we have counts for
5 papers · 1 filter
SPOC: Spatially-Progressing Object State Change Segmentation in Video
Priyanka Mandikal, Tushar Nagarajan, Alex Stoken +2
Object state changes in video reveal critical cues about human and agent activity. However, existing methods are limited to temporal localization of when the object is in its initi…
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network
Priyanka Mandikal, R. Venkatesh Babu
Reconstructing a high-resolution 3D model of an object is a challenging task in computer vision. Designing scalable and light-weight architectures is crucial while addressing this…
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision
Navaneet K L, Priyanka Mandikal, Mayank Agarwal +1
Knowledge of 3D properties of objects is a necessity in order to build effective computer vision systems. However, lack of large scale 3D datasets can be a major constraint for dat…
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image
Priyanka Mandikal, Navaneet K L, R. Venkatesh Babu
We propose a mechanism to reconstruct part annotated 3D point clouds of objects given just a single input image. We demonstrate that jointly training for both reconstruction and se…
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image
Priyanka Mandikal, K L Navaneet, Mayank Agarwal +1
3D reconstruction from single view images is an ill-posed problem. Inferring the hidden regions from self-occluded images is both challenging and ambiguous. We propose a two-pronge…