diff --git a/modules/core/src/matrix_operations.cpp b/modules/core/src/matrix_operations.cpp
index f16a72cb0..243d56e22 100644
--- a/modules/core/src/matrix_operations.cpp
+++ b/modules/core/src/matrix_operations.cpp
@@ -250,7 +250,7 @@ void cv::gpu::CudaMem::create(int _rows, int _cols, int _type, int _alloc_type)
 
         //datastart = data = (uchar*)fastMalloc(datasize + sizeof(*refcount));
         alloc_type = _alloc_type;
-        void *ptr;
+        void *ptr = 0;
 
         switch (alloc_type)
         {
diff --git a/modules/softcascade/src/cuda/channels.cu b/modules/softcascade/src/cuda/channels.cu
index 692867148..62f347da8 100644
--- a/modules/softcascade/src/cuda/channels.cu
+++ b/modules/softcascade/src/cuda/channels.cu
@@ -477,7 +477,7 @@ namespace cv { namespace softcascade { namespace device
             const dim3 block(32, 8);
             const dim3 grid(divUp(integral.cols, block.x), 1);
 
-            shfl_integral_vertical<<<grid, block, 0, stream>>>((cv::gpu::PtrStepSz<uint>)buffer, integral);
+            shfl_integral_vertical<<<grid, block, 0, stream>>>((cv::gpu::PtrStepSz<unsigned int>)buffer, integral);
             cudaSafeCall( cudaGetLastError() );
         }
     }
@@ -498,7 +498,7 @@ namespace cv { namespace softcascade { namespace device
         // uint b = 0xffu & (src >> (bidx * 8));
         // uint g = 0xffu & (src >> 8);
         // uint r = 0xffu & (src >> ((bidx ^ 2) * 8));
-        return CV_DESCALE((uint)(b * B2Y + g * G2Y + r * R2Y), yuv_shift);
+        return CV_DESCALE((unsigned int)(b * B2Y + g * G2Y + r * R2Y), yuv_shift);
     }
 
     __global__ void device_transform(const cv::gpu::PtrStepSz<uchar3> bgr, cv::gpu::PtrStepSzb gray)