22 citations · 26 across the 5 of their papers we have counts for
5 papers
Avoiding spurious correlations via logit correction
Sheng Liu, Xu Zhang, Nitesh Sekhar +3
Empirical studies suggest that machine learning models trained with empirical risk minimization (ERM) often rely on attributes that may be spuriously correlated with the class labe…
Multi-modal Tracking for Object based SLAM
Prateek Singhal, Ruffin White, Henrik Christensen
We present an on-line 3D visual object tracking framework for monocular cameras by incorporating spatial knowledge and uncertainty from semantic mapping along with high frequency m…
Dynamic Body VSLAM with Semantic Constraints
N. Dinesh Reddy, Prateek Singhal, Visesh Chari +1
Image based reconstruction of urban environments is a challenging problem that deals with optimization of large number of variables, and has several sources of errors like the pres…
Semantic Motion Segmentation Using Dense CRF Formulation
N. Dinesh Reddy, Prateek Singhal, K. Madhava Krishna
While the literature has been fairly dense in the areas of scene understanding and semantic labeling there have been few works that make use of motion cues to embellish semantic pe…
Top Down Approach to Multiple Plane Detection
Prateek Singhal, Aditya Deshpande, N Dinesh Reddy +1
Detecting multiple planes in images is a challenging problem, but one with many applications. Recent work such as J-Linkage and Ordered Residual Kernels have focussed on developing…