40 citations · 50 across the 6 of their papers we have counts for
6 papers
WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching
Yihan Wang, Jia Deng
We introduce WAFT-Stereo, a simple and effective warping-based method for stereo matching. WAFT-Stereo demonstrates that cost volumes, a common design used in many leading methods,…
Deep Patch Visual Odometry
Zachary Teed, Lahav Lipson, Jia Deng
We propose Deep Patch Visual Odometry (DPVO), a new deep learning system for monocular Visual Odometry (VO). DPVO uses a novel recurrent network architecture designed for tracking…
Multiview Stereo with Cascaded Epipolar RAFT
Zeyu Ma, Zachary Teed, Jia Deng
We address multiview stereo (MVS), an important 3D vision task that reconstructs a 3D model such as a dense point cloud from multiple calibrated images. We propose CER-MVS (Cascade…
Coupled Iterative Refinement for 6D Multi-Object Pose Estimation
Lahav Lipson, Zachary Teed, Ankit Goyal +1
We address the task of 6D multi-object pose: given a set of known 3D objects and an RGB or RGB-D input image, we detect and estimate the 6D pose of each object. We propose a new ap…
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement
Ankit Goyal, Arsalan Mousavian, Chris Paxton +4
Accurate object rearrangement from vision is a crucial problem for a wide variety of real-world robotics applications in unstructured environments. We propose IFOR, Iterative Flow…
Rethinking Numerical Representations for Deep Neural Networks
Parker Hill, Babak Zamirai, Shengshuo Lu +9
With ever-increasing computational demand for deep learning, it is critical to investigate the implications of the numeric representation and precision of DNN model weights and act…