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From Communications of the ACM

Technical Perspective: The Interplay of Neuroscience and Cryptography

An ideal scheme for password storage would enable a password with more than 20 bits of randomness to be input and output from the brain of a human being who is...

Neuroscience Meets Cryptography
From Communications of the ACM

Neuroscience Meets Cryptography: Crypto Primitives Secure Against Rubber Hose Attacks

We present a defense against coercion attacks using the concept of implicit learning from cognitive psychology. We use a carefully crafted computer game to allow...

From Communications of the ACM

Technical Perspective: A 'Reasonable' Solution to Deformation Methods

Jacobson et al. construct a deformation method that allows a wide range of handle types (points, line segments, open and closed polygons) and produces deformations...

Bounded Biharmonic Weights For Real-Time Deformation
From Communications of the ACM

Bounded Biharmonic Weights For Real-Time Deformation

Changing an object's shape is a basic operation in computer graphics. Our goal is to make the design and control of deformations simpler by allowing the user to...

From Communications of the ACM

Technical Perspective: Can We Verify Cyber-Physical Systems?

Developing effective symbolic verification technology for mixed discrete-analog models has proved to be a challenging problem. The following paper by Althoff...

Formal Verification of Phase-Locked Loops Using Reachability Analysis and Continuization
From Communications of the ACM

Formal Verification of Phase-Locked Loops Using Reachability Analysis and Continuization

We present a scalable and formal technique to verify locking time and stability for charge-pump phase-locked loops (PLLs).

From Communications of the ACM

Technical Perspective: Progress in Visual Categorization

Our visual system helps us carry out our daily business. Our eyes and brain help us by measuring shapes, trajectories, and distances in world around us, and by...

Visual Object Detection with Deformable Part Models
From Communications of the ACM

Visual Object Detection with Deformable Part Models

We describe a state-of-the-art system for finding objects in cluttered images. Our system is based on deformable models that represent objects using local part...

From Communications of the ACM

Technical Perspective: A Fresh Approach to Vector Graphics

The following paper makes a fundamental contribution to the world of vector graphics by introducing a new primitive called diffusion curve.

Diffusion Curves
From Communications of the ACM

Diffusion Curves: A Vector Representation For Smooth-Shaded Images

We describe a new vector-based primitive for creating smooth-shaded images, called the diffusion curve.

From Communications of the ACM

Technical Perspective: Circuit Placement Challenges

For a semiconductor circuit with billions of transistors, finding desired locations of circuit components is a challenging task that substantially impacts circuit...

SimPL: An Algorithm For Placing VLSI Circuits
From Communications of the ACM

SimPL: An Algorithm For Placing VLSI Circuits

VLSI placement optimizes locations of circuit components so as to reduce interconnect. We propose an algorithm for large-scale placement that outperforms prior...

From Communications of the ACM

Technical Perspective: The Ray-Tracing Engine That Could

It has been an open question whether it is possible to build GPU-targeted high-performance software systems that are themselves programmable. "GPU Ray Tracing" shows...

GPU Ray Tracing
From Communications of the ACM

GPU Ray Tracing

The NVIDIA OptiX ray tracing engine builds on the key observation that most ray tracing algorithms can be implemented using a small set of programmable operations...

From Communications of the ACM

Technical Perspective: Understanding Pictures of Rooms

The rich world is getting older, so we will see many efforts to build robots that can provide some in-home care for frail people. These robots will need computer...

Discriminative Learning with Latent Variables For Cluttered Indoor Scene Understanding
From Communications of the ACM

Discriminative Learning with Latent Variables For Cluttered Indoor Scene Understanding

We address the problem of understanding an indoor scene from a single image in terms of recovering the room geometry (floor, ceiling, and walls) and furniture layout...

From Communications of the ACM

Technical Perspective: Finding People in Depth

The following article by Shotton et al. describes a landmark computer vision system that takes a single depth image containing a person and automatically estimates...

Real-Time Human Pose Recognition in Parts from Single Depth Images
From Communications of the ACM

Real-Time Human Pose Recognition in Parts from Single Depth Images

We propose a new method to quickly and accurately predict human pose — the 3-D positions of body joints — from a single depth image, without depending on information...

From Communications of the ACM

Technical Perspective: Visualization, Understanding, and Design

Photographs capture the moment; paintings convey perception, impression, and feeling; illustrations tell stories. Computer graphics aims to enrich all these artistic...

From Communications of the ACM

Illustrating How Mechanical Assemblies Work

How-things-work visualizations use a variety of visual techniques to depict the operation of complex mechanical assemblies. We present an automated approach for...
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