New generation deep learning for video object detection: A survey
Video object detection, a basic task in the computer vision field, is rapidly evolving and
widely used. In recent years, deep learning methods have rapidly become widespread in the …
widely used. In recent years, deep learning methods have rapidly become widespread in the …
Object scene flow for autonomous vehicles
This paper proposes a novel model and dataset for 3D scene flow estimation with an
application to autonomous driving. Taking advantage of the fact that outdoor scenes often …
application to autonomous driving. Taking advantage of the fact that outdoor scenes often …
Digital circuit design challenges and opportunities in the era of nanoscale CMOS
Well-designed circuits are one key ldquoinsulatingrdquo layer between the increasingly
unruly behavior of scaled complementary metal-oxide-semiconductor devices and the …
unruly behavior of scaled complementary metal-oxide-semiconductor devices and the …
Thermal modeling, analysis, and management in VLSI circuits: Principles and methods
The growing packing density and power consumption of very large scale integration (VLSI)
circuits have made thermal effects one of the most important concerns of VLSI designers …
circuits have made thermal effects one of the most important concerns of VLSI designers …
Statistical timing analysis: From basic principles to state of the art
Static-timing analysis (STA) has been one of the most pervasive and successful analysis
engines in the design of digital circuits for the last 20 years. However, in recent years, the …
engines in the design of digital circuits for the last 20 years. However, in recent years, the …
Interpolatory projection methods for parameterized model reduction
We provide a unifying projection-based framework for structure-preserving interpolatory
model reduction of parameterized linear dynamical systems, ie, systems having a structured …
model reduction of parameterized linear dynamical systems, ie, systems having a structured …
[BOOK][B] System-on-chip test architectures: nanometer design for testability
LT Wang, CE Stroud, NA Touba - 2010 - books.google.com
Modern electronics testing has a legacy of more than 40 years. The introduction of new
technologies, especially nanometer technologies with 90nm or smaller geometry, has …
technologies, especially nanometer technologies with 90nm or smaller geometry, has …
Stochastic testing method for transistor-level uncertainty quantification based on generalized polynomial chaos
Uncertainties have become a major concern in integrated circuit design. In order to avoid the
huge number of repeated simulations in conventional Monte Carlo flows, this paper presents …
huge number of repeated simulations in conventional Monte Carlo flows, this paper presents …
[BOOK][B] Statistical analysis and optimization for VLSI: Timing and power
Statistical Analysis and Optimization For VLSI: Timing and Power is a state-of-the-art book
on the newly emerging field of statistical computer-aided design (CAD) tools. The very latest …
on the newly emerging field of statistical computer-aided design (CAD) tools. The very latest …
Why quasi-Monte Carlo is better than Monte Carlo or Latin hypercube sampling for statistical circuit analysis
At the nanoscale, no circuit parameters are truly deterministic; most quantities of practical
interest present themselves as probability distributions. Thus, Monte Carlo techniques …
interest present themselves as probability distributions. Thus, Monte Carlo techniques …