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Larissa Laich

4 papers hereh-index 5319 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.DC2
same name
  • Larissa Laich — 1 paper
  • Larissa Laich — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedThe TensorFlow Partitioning and Scheduling Problem: It's the Critical Path!

34 citations · 45 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026★ 3 cited

REFA: Real-time Egocentric Facial Animations for Virtual Reality

Qiang Zhang, Tong Xiao, Haroun Habeeb +19

We present a novel system for real-time tracking of facial expressions using egocentric views captured from a set of infrared cameras embedded in a virtual reality (VR) headset. Ou…

cs.CV2022★ 8 cited

AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing

Jiaxi Jiang, Paul Streli, Huajian Qiu +4

Today's Mixed Reality head-mounted displays track the user's head pose in world space as well as the user's hands for interaction in both Augmented Reality and Virtual Reality scen…

cs.DC2017

ADWISE: Adaptive Window-based Streaming Edge Partitioning for High-Speed Graph Processing

Christian Mayer, Ruben Mayer, Muhammad Adnan Tariq +4

In recent years, the graph partitioning problem gained importance as a mandatory preprocessing step for distributed graph processing on very large graphs. Existing graph partitioni…

cs.DC2017★ 34 cited

The TensorFlow Partitioning and Scheduling Problem: It's the Critical Path!

Ruben Mayer, Christian Mayer, Larissa Laich

State-of-the-art data flow systems such as TensorFlow impose iterative calculations on large graphs that need to be partitioned on heterogeneous devices such as CPUs, GPUs, and TPU…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.