Calendar of Events
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3 events,
PhD Thesis Defense
Analysis of Spatio-Temporally Varying Features in Optical Coherence Tomographic (OCT) and Ultrasound (US) Image Sequences
Abstract: Optical Coherence Tomography (OCT) and Ultrasound (US) are non-ionizing and non-invasive imaging modalities that are clinically used to visualize anatomical structures in the body. OCT has been widely adopted in clinical ophthalmology due to its micron-scale resolution to visualize in-vivo structures of the eye. Ultra-High Frequency Ultrasound (UHFUS) captures images of tissue at a […]
MSR Speaking Qualifier
MSR Thesis Talk – Karen Orton
Title: Inching for Planetary Rovers Abstract: . Inching, also called push-rolling, is method of moving for vehicles that can change the position of their wheels relative to their body. Like an inchworm, it is possible to hold some wheels stationary while advancing the others and the body. In this research a test apparatus capable […]
Faculty Events
RI Faculty Social
RI Faculty Social
All Robotics Institute faculty are invited to attend this informal team-building business/social event. Beverages and snacks will be provided.
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1 event,
MSR Speaking Qualifier
Sha (Yisha) Yi – MSR Thesis Talk
Title: Improving Scalability in Multi-Robot Systems with Abstraction and Specialization Abstract: Planning and controlling multi-robot systems is challenging due to high dimensionality. When the number of robots increases in the system, the complexity of computation grows exponentially. In this thesis, we examine the scalability problem in planning and control of the multi-robot system. We propose […]
1 event,
MSR Speaking Qualifier
MSR Thesis Talk – Andy (Chieh-En) Tsai
Title: A Generative Approach for Socially Compliant Navigation Abstract: Robots navigating in human crowds need to optimize their paths not only for the efficiency of their tasks performance but also for the compliance to social norms. One of the key challenges in this context is due to the lack of suitable metrics for evaluating and […]
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5 events,
MSR Speaking Qualifier
Shubham Agrawal – MSR Thesis Talk
Title: 3D Face Geometry Capture Using Monocular Video Abstract: Accurate reconstruction of facial geometry has been one of the oldest tasks in computer vision. Despite being a long-studied problem, many modern methods fail to reconstruct realistic looking faces or rely on highly constrained environments for capture. High fidelity face reconstructions have so far been [...]
MSR Speaking Qualifier
Tejas Khot – MSR Thesis Talk
Title: Unsupervised Learning for 3D Reconstruction and Blocks World Representation Abstract: Recovering the dense 3D structure of a scene from its images has been a long-standing goal in computer vision. Recent years have seen attempts of encoding richer priors into the geometry-based pipelines with the introduction of learning based methods. We argue that the form of 3D [...]
VASC Seminar
Aljosa Osep
RWTH Aachen University, Computer Vision Group
Tracking Beyond Detection
Abstract: The majority of existing vision-based methods perform multi-object tracking in the image domain. Yet, in mobile robotics and autonomous driving scenarios, pixel-precise object localization and trajectory estimation in 3D space are of fundamental importance. Furthermore, the leading paradigms for vision-based multi-object tracking and trajectory prediction heavily rely on object detectors and effectively limit tracking [...]
MSR Speaking Qualifier
Yubo Zhang – MSR Thesis Talk
Title: A structured model for action detection Abstract: A dominant paradigm for learning-based approaches in computer vision is training generic models, such as ResNet for image recognition, or I3D for video understanding, on large datasets and allowing them to discover the optimal representation for the problem at hand. While this is an obviously attractive approach, [...]
MSR Speaking Qualifier
Nilesh Kulkarni – MSR Thesis Talk
Title: Canonical Surface Mapping via Geometric Cycle Consistency Abstract: We explore the task of Canonical Surface Mapping (CSM). Specifically, given an image, we learn to map pixels on the object to their corresponding locations on an abstract 3D model of the category. But how do we learn such a mapping? A supervised approach would [...]
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3 events,
MSR Speaking Qualifier
Yufei (Judy) Ye – MSR Thesis Talk
Title: Leveraging Structure for Generalization and Prediction in Visual System. Abstract: Our surrounding world is highly structured. Humans have a great capacity of understanding and leveraging those structures to generalize to novel scenarios and to predict the future. The thesis studies how computer vision systems benefit from the similar process -- leveraging inherent structures in [...]
MSR Speaking Qualifier
Dhiraj Gandhi – MSR Thesis Talk
Title: Self-Supervised Robot Learning Abstract: Supervised learning has been used in robotics to solve various tasks like navigation, fine manipulation, etc. While it has shown a promising result, in most cases the supervision comes from the human agent. However, relying on human is a huge bottleneck to scale up these approaches. In this thesis, [...]
MSR Speaking Qualifier
MSR Thesis Talk – Chia Dai
Title: Few-Shot Learning for Semantic Segmentation Abstract: Most learning architectures for segmentation task require a significant amount of data and annotations, especially in the task of segmentation, where each pixel is assigned to a class. Few-shot segmentation aims to replace large amount of training data with only a few densely annotated samples. In this talk, [...]
1 event,
MSR Speaking Qualifier
Subhodeep Mitra – MSR Thesis Talk
Title: A fast algorithm for consecutive ones with applications in item labeling Abstract: We develop and analyze a general problem in a crowd-sourced setting: users pick a label from a set of candidates for a set of items; the problem is to determine the most likely label for each item, as well as a ranking [...]
1 event,
PhD Thesis Defense
Spatiotemporal Understanding of People Using Scenes, Objects, and Poses
Abstract: Humans are arguably one of the most important entities that AI systems would need to understand to be useful and ubiquitous. From autonomous cars observing pedestrians to assistive robots helping the elderly, a large part of this understanding is focused on recognizing human actions, and potentially, their intentions. Humans themselves are quite good at […]
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MSR Speaking Qualifier
Aashi Manglik – MSR Thesis Talk
Title: Real-Time Collision Forecasting from Monocular Video Abstract: We explore the possibility of using a single monocular camera to forecast the time to collision between a suitcase-shaped robot being pushed by its user and other nearby pedestrians. We develop a purely image-based deep learning approach that directly estimates the time to collision without the need […]
1 event,
PhD Thesis Defense
Deep Non-Rigid Structure from Motion
Abstract: Non-Rigid Structure from Motion (NRSfM) refers to the problem of reconstructing cameras and the 3D point cloud of a non-rigid object from a sequence of images with 2D correspondences. Current NRSfM algorithms are mainly limited within two perspectives: (i) the number of images, and (ii) the type of shape variability they can handle. These […]
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MSR Speaking Qualifier
Kevin Christensen – MSR Thesis Talk
*LOCATION CHANGE TO NEWELL SIMON HALL ROOM 1305* Title: Computer Vision for Live Map Updates Abstract: Real-time traffic monitoring has had widespread success via crowd-sourced GPS data. While drivers benefit from this low-level, low-latency map information, any high-level traffic data such as road closures and accidents currently have very high latency since such systems rely solely […]
1 event,
MSR Speaking Qualifier
MSR Thesis Talk – Weizhao Shao
Title: Stereo Visual-Inertial-LiDAR Simultaneous Localization and Mapping Abstract: Simultaneous Localization and Mapping (SLAM) is a fundamental task to mobile and aerial robotics. The goal of SLAM is to utilize onboard sensors for estimating the robot’s trajectory while reconstructing the surrounding environment (map) in real-time. The algorithm should also be able to perform loop closure, such […]
1 event,
MSR Speaking Qualifier
Samuel Clarke – MSR Thesis Talk
Title: Robot Learning for Manipulation of Granular Materials Abstract: Granular materials are ubiquitous in household and industrial manipulation tasks, but their dynamics are difficult to model analytically or through simulation. During manipulation, they provide rich multimodal sensory feedback. We present a robotic system we constructed for investigating manipulation of granular materials. We present […]
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MSR Speaking Qualifier
Gengshan Yang – MSR Thesis Talk
Title: Volumetric Correspondence Networks for Stereo Matching and Optical Flow Abstract: Many classic tasks in vision, such as the estimation of optical flow or stereo disparities, can be cast as dense correspondence matching. Well-known techniques for doing so make use of a cost volume, which is typically a 3D/4D tensor of match costs between all […]
1 event,
MSR Speaking Qualifier
Jack Yang – MSR Thesis Talk
Title: Surfel-based RGB-D Reconstruction and SLAM with Global and Local Consistency Abstract: Achieving high surface reconstruction accuracy in dense mapping has been a desirable target for both robotics and vision communities. In the robotics literature, simultaneous localization and mapping (SLAM) systems use depth-enabled cameras to reconstruct a dense map of the environment. They leverage […]
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MSR Speaking Qualifier
Kevin Pluckter – MSR Thesis Talk
Title: Precision UAV Landing in Unstructured Environments Abstract: The autonomous landing of a drone is an important part of autonomous flight. One way to have a high certainty of safety in landing is to return the drone to the same location it took-off from. Current implementations of the return-to-home functionality fall short when relying solely […]
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MSR Speaking Qualifier
Zimo Li – MSR Thesis Talk
Title: Joint Surface Reconstruction from Monocular Vision and LiDAR Abstract: In recent years, dense reconstruction gains popularity because of its broad applications in inspection, mapping, and planning. Cameras or LiDARs are generally deployed for 3D dense reconstruction. However, current reconstruction pipelines based on cameras or LiDARs have significant limitations in achieving an accurate and […]
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Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University